Papers by Session


Front Matter    
Focus Session: Evolution Of Ml Hardware: From Technologies To Algorithms And Architectures
Algorithm to Technology Co-Optimization for CiM-based Hyperdimensional Computing   
Mahta Mayahinia, Simon Thomann, Paul Genssler, Christopher Münch, Hussam Amrouch and Mehdi Tahoori
Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics   
Salma Afifi, Febin Sunny, Mahdi Nikdast and Sudeep Pasricha
Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads   
Harsh Sharma, Gaurav Narang, Jana Doppa, Umit Y. Ogras and Partha Pratim Pande
ASD Technical Paper Session: Designing Adaptive Autonomous Systems for Resource-Constrained Platforms
Context-aware Multi-Model Object Detection for Diversely Heterogeneous Compute Systems   
Justin Davis and Mehmet Belviranli
Adaptive localization for autonomous racing vehicles with resource-constrained embedded platforms   
Federico Gavioli, Gianluca Brilli, Paolo Burgio and Davide Bertozzi
Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones   
Beatrice Alessandra Motetti, Luca Crupi, Omer Mohammed Elamin Elshaigi Mustafa, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi and Alessio Burrello
BPA - Reliability And Optimizations
Scalable Sequential Optimization Under Observability Don't Cares   
Dewmini Marakkalage, Eleonora Testa, Walter Lau Neto, Alan Mishchenko, Giovanni De Micheli and Luca Amaru
VACSEM: Verifying Average Errors in Approximate Circuits Using Simulation-Enhanced Model Counting   
Chang Meng, Hanyu Wang, Yuqi Mai, Weikang Qian and Giovanni De Micheli
SELCC: Enhancing MLC Reliability and Endurance with Single-cell Error Correction Codes   
Yujin Lim, Dongwhee Kim and Jungrae Kim
FPGA Solutions
Unveiling the Black-Box: Leveraging Explainable AI for FPGA Design Space Optimization   
Jaemin Seo, Sejin Park and Seokhyeong Kang
An Agile Deploying Approach for Large-Scale Workloads on CGRA-CPU Architecture   
Jiahang Lou, Xuchen Gao, Yiqing Mao, Yunhui Qiu, Yihan Hu, Wenbo Yin and Lingli Wang
Cuper: Customized Dataflow and Perceptual Decoding for Sparse Matrix-Vector Multiplication on HBM-Equipped FPGAs   
Enxin Yi, Yiru Duan, Yinuo Bai, Kang Zhao, Zhou Jin and Weifeng Liu
Towards High-throughput Neural Network Inference with Computational BRAM on Nonvolatile FPGAs   
Hao Zhang, Mengying Zhao, Huichuan Zheng, Yuqing Xiong, Yuhao Zhang and Zhaoyan Shen
Bitstream Fault Injection Attacks on CRYSTALS Kyber Implementations on FPGAs   
Ziying Ni, ayesha khalid, Weiqiang Liu and Maire O'Neill
On-FPGA Spiking Neural Networks for Integrated Near-Sensor ECG Analysis   
Matteo Antonio Scrugli, Paola Busia, Gianluca Leone and Paolo Meloni
SpecHD: Hyperdimensional Computing Framework for FPGA-based Mass Spectrometry Clustering   
Sumukh Pinge, Weihong Xu, Jaeyoung Kang, Tianqi Zhang, Niema Moshiri, Wout Bittremieux and Tajana Rosing
Memory Scraping Attack on Xilinx FPGAs: Private Data Extraction from Terminated Processes   
Bharadwaj Madabhushi, Sandip Kundu and Daniel Holcomb
High-Efficiency FPGA-Based Approximate Multipliers with LUT Sharing and Carry Switching   
Yi GUO, Qilin ZHOU, Xiu CHEN and Heming SUN
OTFGEncoder-HDC: Hardware-efficient Encoding Techniques for Hyperdimensional~Computing   
Mahboobe Sadeghipourrudsari, Jonas Krautter and Mehdi Tahoori
Adaptive And Sensing Systems
OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing   
Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi and Shaahin Angizi
PathDriver-Wash: A Path-Driven Wash Optimization Method for Continuous-Flow Lab-on-a-Chip Systems   
Xing Huang, Jiaxuan Wang, Zhiwen Yu, Bin Guo, Tsung-Yi Ho, Ulf Schlichtmann and Krishnendu Chakrabarty
Multi-Agent Reinforcement Learning for Thermally-Restricted Performance Optimization on Manycores   
Heba Khdr, Mustafa Enes Batur, Kanran Zhou, Mohammed Bakr Sikal and Joerg Henkel
OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation   
Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann and Bing Li
Design Automation for Organs-on-Chip   
Maria Emmerich, Philipp Ebner and Robert Wille
Trace-enabled timing model synthesis for ROS2-based autonomous applications   
Hazem Abaza, Debayan Roy, Shiqing Fan, Selma Saidi and Antonios Motakis
sLET for distributed aerospace landing system   
Damien Chabrol, Guillaume Phavorin and Eric Jenn
A Mapping of Triangular Block Interleavers to DRAM for Optical Satellite Communication   
Lukas Steiner, Timo Lehnigk-Emden, Markus Fehrenz and Norbert Wehn
OC-DLRM: Minimizing the I/O Traffic of DLRM between Main Memory and OCSSD   
Shang-Hung Ti, Tseng-Yi Chen, Tsung Tai Yeh, Shuo-Han Chen and Yu-Pei Liang
SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness   
Hamidreza Alikhani Koshkak, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani and Nikil Dutt
Dynamic Per-Flow Queues for TSN switches   
Wenxue Wu, Zhen Li, Tong Zhang, Xiaoqin Feng, Liwei Zhang, Xuelong Qi and Fengyuan Ren
Microarchitectural And Side-Channel-Based Attacks And Countermeasures
Flush+earlyReload: Covert Channels Attack on Shared LLC Using MSHR Merging   
Aditya S. Gangwar, Prathamesh N. Tanksale, Shirshendu Das and Sudeepta Mishra
Prime+Reset: Introducing A Novel Cross-World Covert-Channel Through Comprehensive Security Analysis on ARM TrustZone   
Yun Chen, Arash Pashrashid, Yongzheng Wu and Trevor E. Carlson
Statistical Profiling of Micro-Architectural Traces and Machine Learning For Spectre Detection: A Systematic Evaluation   
Mai AL-Zu'bi and Georg Weissenbacher
Three Sidekicks to Support Spectre Countermeasures   
Markus Krausz, Jan Phil­ipp Thoma, Florian Stolz, Marc Fyrbiak and Tim Güneysu
Detecting Backdoor Attacks in Black-Box Neural Networks through Hardware Performance Counters   
Manaar Alam, Yue Wang and Michail Maniatakos
Can Machine Learn Pipeline Leakage?   
Omid Bazangani, Parisa Amiri Eliasi, Stjepan Picek and Lejla Batina
A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces   
Giuseppe Chiari, Davide Galli, Francesco Lattari, Matteo Matteucci and Davide Zoni
IMCE: An In-Memory Computing and Encrypting Hardware Architecture for Robust Edge Security   
Hanyong Shao, Boyi Fu, Jinghao Yang, Wenpu Luo, Chang Su, Zhiyuan Fu, Kechao Tang and Ru Huang
Demonstrating Post-Quantum Remote Attestation for RISC-V Devices   
Maximilian Barger, Marco Brohet and Francesco Regazzoni
Circumventing Restrictions in commercial High-Level Synthesis Tools   
Benjamin Carrion Schaefer and Chaitali Sathe
IEEE Ceda Distinguished Lecturer Lunchtime Keynote
AI Models for Edge Computing: Hardware-aware Optimizations for Efficiency   
Hai (Helen) Li
ASD Technical Paper Session: Towards Assuring Safe Autonomous Driving
Back to the Future: Reversible Runtime Neural Network Pruning for Safe Autonomous Systems   
Danny Abraham, Biswadip Maity, Bryan Donyanavard and Nikil Dutt
Automated Traffic Scenario Description Extraction Using Video Transformers   
Aron Harder and Madhur Behl
ADAssure: Debugging Methodology for Autonomous Driving Control Algorithms   
Andrew Roberts, Mohammad Reza Heidari Iman, Mauro Bellone, Tara Ghasempouri, Olaf Maennel, Jaan Raik, Mohammad Hamad and Sebastian Steinhorst
BPA - New Circuits And Devices
Dynamic Realization of Multiple Control Toffoli Gate   
Abhoy Kole, Arighna Deb, Kamalika Datta and Rolf Drechsler
A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation   
Qingrong Huang, Hamza Errahmouni Barkam, Zeyu Yang, Jianyi Yang, Thomas K ̈ampfe, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Mohsen Imani, Cheng Zhuo and Xunzhao Yin
RVCE-FAL: A RISC-V Vector-Scalar Custom Extension for Faster FALCON Digital Signature   
Xinglong Yu, Yi Sun, Yifan Zhao, Honglin Kuang and Jun Han
Emerging Machine Learning Techniques
Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters   
Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang and Jinho Lee
A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network   
Siyu Zhang, Wendong Mao, Huihong Shi and Zhongfeng Wang
MultimodalHD: Federated Learning Over Heterogeneous Sensor Modalities using Hyperdimensional Computing   
Quanling Zhao, Xiaofan Yu, Shengfan Hu and Tajana Rosing
DyPIM: Dynamic-inference-enabled Processing-In-Memory Accelerator   
Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang and Yu Wang
Multi-Level Analysis of GPU Utilization in ML Training Workloads   
Paul Delestrac, Debjyoti Bhattacharjee, Simei Yang, Diksha Moolchandani, Francky Catthoor, Lionel Torres and David Novo
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning   
Fransiskus Yoga Esa Wibowo, Cristian Cioflan, Thorir Mar Ingolfsson, Michael Hersche, Leo Zhao, Abbas Rahimi and Luca Benini
Decoupled Access-Execute enabled DVFS for tinyML deployments on STM32 microcontrollers   
Elisavet Lydia Alvanaki, Manolis Katsaragakis, Dimosthenis Masouros, Sotirios Xydis and Dimitrios Soudris
An Isotropic Shift-Pointwise Network for Crossbar-Efficient Neural Network Design   
Ziyi Guan, Boyu Li, Yuan Ren, Muqun Niu, Hantao Huang, Graziano Chesi, Hao Yu and Ngai Wong
MicroNAS: Zero-Shot Neural Architecture Search for MCUs   
Ye Qiao, Haocheng Xu, Yifan Zhang and Sitao Huang
Zero-shot Classification using Hyperdimensional Computing   
Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian and Abbas Rahimi
Accelerating DNNs using Weight Clustering on RISC-V Custom Functional Units   
Muhammad Sabih, Batuhan Sesli, Frank Hannig and Jürgen Teich
ASD Technical Paper Session: On Perception in Autonomous Systems
Adaptive Perception Control for Aerial Robots with Twin Delayed DDPG   
Marilyn Wolf
Frontiers in Edge AI with RISC-V: Hyperdimensional Computing vs. Quantized Neural Networks   
Hussam Amrouch, Paul Genssler, Sandy A. Wasif, Miran Wael and Rodion Novkin
Driving Autonomy with Event-based Cameras: Algorithm and Hardware Perspectives   
Saibal Mukhopadhyay
Corporate Governance and Management of AI-Driven Product Development: Vehicle Automation   
Marilyn Wolf
Focus Session: Formal Verification Under Resource Constraints
Polynomial Formal Verification of Sequential Circuits   
Caroline Dominik and Rolf Drechsler
Automated Verifiability-Driven Design of Approximate Circuits: Exploiting Error Analysis   
Zdenek Vasicek, Vojtech Mrazek and Lukas Sekanina
Using Formal Verification Methods for Optimization of Circuits under External Constraints   
Daniel Grosse, Lucas Klemmer and Dominik Bonora
Combining Formal Verification and Testing for Debugging of Arithmetic Circuits   
Jiteshri Dasari and Maciej Ciesielski
BPA - Novel Architecture Solutions
FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks   
Xueyuan Liu, Zhuoran Song, Guohao Dai, Gang Li, Can Xiao, Yan Xiang, Dehui Kong, Ke Xu and Xiaoyao Liang
Efficient Exploration of Cyber-Physical System Architectures Using Contracts and Subgraph Isomorphism   
Yifeng Xiao, Chanwook Oh, Michele Lora and Pierluigi Nuzzo
Synthesizing Hardware-Software Leakage Contracts for RISC-V Open-Source Processors   
Gideon Mohr, Marco Guarnieri and Jan Reineke
System-Level Design Methodologies And High-Level Synthesis
PIMLC: Logic Compiler for Bit-serial Based PIM   
Chenyu Tang, Chen Nie, Weikang Qian and Zhezhi He
PIMSYN: Synthesizing Processing-in-memory CNN Accelerators   
Wanqian Li, Xiaotian Sun, Xinyu Wang, Lei Wang, Yinhe Han and Xiaoming Chen
MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications   
Tousif Rahman, Gang Mao, Sidharth Maheshwari, Rishad Shafik and Alex Yakovlev
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS   
Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen and Xiaoqing Xu
Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs   
Mingzhe Gao, Jieru Zhao, Zhe Lin and Minyi Guo
CASCO: Cascaded Co-Optimization for Holistic Neural Network Acceleration   
Bahador Rashidi, Shan Lu, kiarash aghakasiri, Chao Gao, Fred Xuefei Han, Zhisheng Wang, Laiyuan Gong and Fengyu Sun
BusyMap, an Efficient Data Structure to Observe Interconnect Contention in SystemC TLM-2.0   
Emad Arasteh, Vivek Govindasamy and Rainer Doemer
SenseDSE: Sensitivity-based Performance Evaluation for Design Space Exploration of Microarchitecture   
Zheng Wu, Xiaoling Yi, Li Shang and Fan Yang
Microprocessor Design Space Exploration via Space Partitioning and Bayesian Optimization   
Zijun JIANG and Yangdi Lyu
DeepSeq: Deep Sequential Circuit Learning   
Sadaf Khan, Zhengyuan Shi, Min Li and Qiang Xu
Emerging Design Technologies For Future Computing
Para-ZNS: Improving Small-zone ZNS SSDs Parallelism through Dynamic Zone Mapping   
Zhenhua Tan, Linbo Long, Jingcheng Shen, Congming Gao, Renping Liu and Yi Jiang
Quantum State Preparation Using an Exact CNOT Synthesis Formulation   
Hanyu Wang, Jason Cong and Giovanni De Micheli
BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems   
Lunshuai Pan, Pushen Zuo, Yubiao Luo, Zhong Sun and Ru Huang
A Parallel Tempering Processing Architecture with Multi-Spin Update for Fully-Connected Ising Models   
Yang Zhang, Xiangrui Wang, Dong Jiang, Zhanhong Huang, Gaopeng Fan and Enyi Yao
A3PIM: An Automated, Analytic and Accurate Processing-in-Memory Offloader   
Qingcai Jiang, Shaojie Tan, Junshi Chen and Hong An
HygHD: Hyperdimensional Hypergraph Learning   
Jaeyoung Kang, You Hak Lee, Minxuan Zhou, Weihong Xu and Tajana Rosing
SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits   
Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen and Yanzhi Wang
JPlace: A Clock-Aware Length-Matching Placement for Rapid Single-Flux-Quantum Circuits   
Siyan Chen, Rongliang Fu, Junying Huang, Zhimin Zhang, Xiaochun Ye, Tsung-Yi Ho and Dongrui Fan
AdaP-CIM: Compute-in-Memory Based Neural Network Accelerator using Adaptive Posit   
Jingyu He, Fengbin Tu, Tim Cheng and Chi Ying Tsui
DNA-based Similar Image Retrieval via Triplet Network-driven Encoder   
Takefumi Koike, Hiromitsu Awano and Takashi Sato
Unleashing the Power of T1-cells in SFQ Arithmetic Circuits   
Rassul Bairamkulov, Mingfei Yu and Giovanni De Micheli
Focus Session: Cryogenic Computing: Current Status And Future Perspectives
Depth-Optimal Addressing of 2D Qubit Array with 1D Controls Based on Exact Binary Matrix Factorization   
Daniel Bochen Tan, Shuohao Ping and Jason Cong
From Master equation to SPICE: a platform to model cryo-CMOS control for qubits   
Vladimir Pesic, Andrew Wright and Edoardo Charbon
Technology-Aware Logic Synthesis for Superconducting Electronics   
Rassul Bairamkulov, Siang-Yun Lee, Alessandro Tempia Calvino, Dewmini Marakkalage, Mingfei Yu and Giovanni De Micheli
Challenges and Unexplored Frontiers in Electronic Design Automation for Superconducting Digital Logic   
Sasan Razmkhah, Robert Aviles, Mingye li, Sandeep Gupta, Peter Beerel and Massoud Pedram
ASD Technical Paper Session: Real-Time Aware Communication Systems for Autonomy
An Adaptive UAV Scheduling Process to Address Dynamic Mobile Network Demand Efficiently   
Ruide Cao, Jiao Ye, Jin Zhang, Qian You, Chao Tang, Yan Liu and Yi Wang
End-to-End Latency Optimization of Thread Chains Under the DDS Publish/Subscribe Middleware   
Gerlando Sciangula, Daniel Casini, Alessandro Biondi and Claudio Scordino
Orchestration-aware optimization of ROS2 communication protocols   
Mirco De Marchi and Nicola Bombieri
BPA - Better Machine Learning
Class-Aware Pruning for Efficient Neural Networks   
Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin and Grace Li Zhang
Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations   
Soyed Tuhin Ahmed, Kamal Danouchi, Michael Hefenbrock, Guillaume Prenat, Lorena Anghel and Mehdi Tahoori
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays   
Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino and Daniele Jahier Pagliari
System Simulation, Validation And Verification
EvilCS: An Evaluation of Information Leakage through Context Switching on Security Enclaves   
Aruna Jayasena, Richard Bachmann and Prabhat Mishra
Heterogeneous Static Timing Analysis with Advanced Delay Calculator   
Zizheng Guo, Tsung-Wei Huang, Jin Zhou, Cheng Zhuo, Yibo Lin, Runsheng Wang and Ru Huang
TSA-TICER: A Two-Stage TICER Acceleration Framework for Model Order Reduction   
Pengju Chen, Dan Niu, Zhou Jin, Changyin Sun, Qi Li and Hao Yan
A RISC-V "V" VP: Unlocking Vector Processing for Evaluation at the System Level   
Manfred Schlaegl, Moritz Stockinger and Daniel Grosse
ARTmine: Automatic Association Rule Mining with Temporal Behavior for Hardware Verification   
Mohammad Reza Heidari Iman, Gert Jervan and Tara Ghasempouri
MSH: A Multi-Stage HiZ-Aware Homotopy Framework for Nonlinear DC Analysis   
Zhou Jin, Tian Feng, Xiao Wu, Dan Niu, Zhenya Zhou and Cheng Zhuo
Selfie5: an autonomous, self-contained verification approach for high-throughput random testing of programmable processors.   
Yehuda Kra, Naama Kra and Adam Teman
ISPT-Net: A Noval Transient Backward-stepping Reduction Policy by Irregular Sequential Prediction Transformer   
Yichao Dong, Dan Niu, Zhou Jin, Chuan Zhang, Changyin Sun and Zhenya Zhou
VeriBug: An Attention-based Framework for Bug Localization in Hardware Designs   
Giuseppe Stracquadanio, Sourav Medya, Stefano Quer and Debjit Pal
An Endeavor to Industrialize Hardware Fuzzing: Automating NoC Verification in UVM   
Ruiyang Ma, Huatao Zhao, Jiayi Huang, Shijian Zhang and Guojie Luo
Modeling And Mitigation Of Defects, Faults, Variability, And Reliability
LaVA: An Effective Layer Variation Aware Bad Block Management for 3D CT NAND Flash   
Shuhan BAI, You ZHOU, Fei WU, Changsheng XIE, Tei-Wei KUO and Chun Jason XUE
Learning Assisted Post-Manufacture Testing and Tuning of RRAM-Based DNNs for Yield Recovery   
Kwondo Ma, Anurup Saha, Chandramouli Amarnath and Abhijit Chatterjee
A Graph-learning-driven Prediction Method for Combined Electromigration and Thermomigration Stress on Multi-Segment Interconnects   
Yunfan Zuo, Yuyang Ye, Hongchao Zhang, Tinghuan Chen, Hao Yan and Longxing Shi
PoLM: Point Cloud and Large Pre-trained Model Catch Mixed-type Wafer Defect Pattern Recognition   
Hongquan He, Guowen Kuang, QI SUN and Hao Geng
Derailed: Arbitrarily Controlling DNN Outputs with Targeted Fault Injection Attacks   
Jhon Ordoñez and Chengmo Yang
IoT-GRAF: IoT Graph Learning-based Anomaly and Intrusion Detection through Multi-modal Data Fusion   
Rozhin Yasaei, Yasamin Moghaddas and Mohammad Al Faruque
Alleviating Barren Plateaus in Parameterized Quantum Machine Learning Circuits: Investigating Advanced Parameter Initialization Strategies   
Muhammad Kashif, Muhammad Rashid, Saif Al-Kuwari and Muhammad Shafique
FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators   
Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Jana Doppa, Ananth Kalyanaraman and Partha Pratim Pande
Towards SEU Fault Propagation Prediction with Spatio-temporal Graph Convolutional Networks   
Li Lu, Junchao Chen, Markus Ulbricht and Milos Krstic
Fast Estimation for Electromigration Nucleation Time Based on Random Activation Energy Model   
Jingyu Jia, Jianwang Zhai and Kang Zhao
Out-of-Distribution Detection Using Power-Side Channels for Improving Functional Safety of Neural Network FPGA Accelerators   
Vincent Meyers, Dennis Gnad and Mehdi Tahoori
Multi-Partner Projects
EMDRIVE Architecture: Embedded Computing and Diagnostics from Sensor to Edge   
Patrick Schmidt, Iuliia Topko, Matthias Stammler, Tanja Harbaum, Juergen Becker, Rico Berner, Omar Ahmed, Jakub Jagielski, Thomas Seidler, Markus Abel, Marius Kreutzer, Maximilian Kirschner, Victor Pazmino, Robin Sehm, Lukas Groth, Andrija Neskovic, Rolf Meyer, Saleh Mulhem, Mladen Berekovic, Matthias Probst, Manuel Brosch, Georg Sigl, Thomas Wild, Matthias Ernst, Andreas Herkersdorf, Florian Aigner, Stefan Hommes, Sebastian Lauer, Maximilian Seidler, Thomas Raste, Gasper Skvarc Bozic, Ibai Irigoyen Ceberio, Muhammad Hassan and Albrecht Mayer
Evaluating an open-source hardware approach from HDL to GDS for a security chip design — a review of the final stage of project HEP   
Norbert Herfurth, Tim Henkes, Tuba Kiyan, Fabian Buschkowski, Christoph Lüth, Steffen Reith, Pascal Sasdrich, Milan Funk, Rene Rathfelder, Aygün Walter, Julian Wälde, Goran Panic, Levente Suta, Detlef Boeck, Arnd Weber and Torsten Grawunder
The 3D Neural Network Compute Cube (N2C2) Concept enabling Efficient Hardware Transformer Architectures towards Speech-to-Speech Translation   
Ian O'Connor, Sara Mannaa, Alberto Bosio, Bastien Deveautour, Damien Deleruyelle, Tetiana Obukhova, Cedric Marchand, Jens Trommer, Cigdem Cakirlar, Bruno Neckel Wesling, Thomas Mikolajick, Oskar Baumgartner, Mischa Thesberg, David Pirker, Christoph Lenz, Zlatan Stanojevic, Markus Karner, Guilhem Larrieu, Sylvain Pelloquin, Konstantinous Moustakas, Jonas Muller, Giovanni Ansaloni, Alireza Amirshahi, David Atienza, Jean-Luc Rouas, Leila Ben Letaifa, Georgeta Bordea, Charles Brazier, Yifan Wang, Chhandak Mukherjee, Marina Deng, Marc François, Houssem Rezgui, Reveil Lucas and Cristell Maneux
A Scalable RISC-V Hardware Platform for Intelligent Sensor Processing   
Paul Palomero Bernardo, Patrick Schmid, Oliver Bringmann, Mohammed Iftekhar, Babak Sadiye, Wolfgang Mueller, Andreas Koch, Eyck Jentzsch, Axel Sauer, Ingo Feldner and Wolfgang Ecker
NeuSpin: Design of A Reliable Edge Neuromorphic System Based On Spintronics for Green AI   
Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat, Lorena Anghel and Mehdi Tahoori
Autonomous Realization of Safety- and Time-Critical Embedded Artificial Intelligence   
Joakim Lindén, Andreas Ermedahl, Hans Salomonsson, Masoud Daneshtalab, Björn Forsberg and Paris Carbone
ASD Embedded Keynote
Certainty or Intelligence: Pick One!   
Edward Lee
ASD Posters
Constraint-aware Resource Management for Cyber-Physical Systems   
Justin McGowen, Ismet Dagli, Neil Dantam and Mehmet Belviranli
Robustness and Accuracy Evaluations of Localization Techniques for Autonomous Racing   
Tian Yi Lim, Nicolas Baumann, Edoardo Ghignone and Michele Magno
A Stakeholder Analysis on Operational Design Domains of Automated Driving Systems   
Marcel Aguirre Mehlhorn, Hauke Dierend, Andreas Richter and Yuri Shardt
Emerging Design Technologies For Future Memories
COMET: A Cross-Layer Optimized Optical Phase Change Main Memory Architecture   
Febin Sunny, Amin Shafiee, Benoit Charbonnier, Mahdi Nikdast and Sudeep Pasricha
CafeHD: A Charge-Domain FeFET-Based Compute-in-Memory Hyperdimensional Encoder with Hypervector Merging   
Taixin Li, Hongtao Zhong, Juejian Wu, Thomas Kämpfe, Kai Ni, Vijaykrishnan Narayanan, Huazhong Yang and Xueqing Li
AFPR-CIM: An Analog-Domain Floating-Point RRAM-based Compute-In-Memory Architecture with Dynamic Range Adaptive FP-ADC   
Haobo Liu, Zhengyang Qian, Wei Wu, Hongwei Ren, Zhiwei Liu and Leibin Ni
ARCTIC: Agile and Robust Compute-In-Memory Compiler with Parameterized INT/FP Precision and Built-In Self Test   
Hongyi Zhang, Haozhe Zhu, Siqi He, Mengjie Li, Chengchen Wang, Xiankui Xiong, Haidong Tian, Xiaoyang Zeng and Chixiao Chen
Bit-Trimmer: Ineffectual Bit-operation Removal for CIM Architecture   
Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li and Ying Wang
HyQA: Hybrid Near-Data Processing Platform for Embedding based Question Answering System   
Shengwen Liang, Ziming Yuan, Ying Wang, Dawen Xu, Huawei Li and Xiaowei Li
Towards Efficient Reconfiguration through Lightweight Input Inversion for MLC NVFPGAs   
Huichuan Zheng, Mengying Zhao, Hao Zhang, Yuqing Xiong, Xiaojun Cai and Zhiping Jia
Low Power and Temperature-Resilient Compute-In-Memory Based on Subthreshold-FeFET   
Yifei Zhou, Xuchu Huang, Jianyi Yang, Kai Ni, Hussam Amrouch, Cheng Zhuo and Xunzhao Yin
Pipeline Design of Nonvolatile-based Computing in Memory for Convolutional Neural Networks Inference Accelerators   
Lixia Han, Peng Huang, Zheng Zhou, Yiyang Chen, Haozhang Yang, Xiaoyan Liu and Jinfeng Kang
ReTAP: Processing-in-ReRAM Bitap Approximate String Matching Accelerator for Genomic Analysis   
Tsung-Yu Liu, Yen An Lu, James Yu, Chin-Fu Nien and Hsiang-Yun Cheng
A DTCO Framework for 3D NAND Flash Readout   
Mattia Gerardi, Arvind Sharma, Yang Xiang, Jakub Kaczmarek, Fernando Garcia Redondo, Maarten Rosmeulen and Marie Garcia Bardon
Efficient And Secure Systems-On-Chip For The New Hyperconnected Environments
Efficient Fast Additive Homomorphic Encryption Cryptoprocessor for Privacy-preserving Federated Learning Aggregation   
Wenye Liu, Nazim Altar Koca and Chip Hong Chang
CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor Localization   
Danish Gufran and Sudeep Pasricha
Optimizing Ciphertext Management for Faster Fully Homomorphic Encryption Computation   
Eduardo Chielle, Oleg Mazonka and Michail Maniatakos
Cache Bandwidth Contention Leaks Secrets   
Han Wang, Ming Tang, Ke Xu and Quancheng Wang
IOMMU Deferred Invalidation Vulnerability: Exploit and Defense   
Chathura Rajapaksha, Leila Delshadtehrani, Richard Muri, Manuel Egele and Ajay Joshi
EMAClave: An Efficient Memory Authentication for RISCV Enclaves   
Omais Pandith, Rafail Psiakis and Johanna Toivanen
ROLDEF: RObust Layered DEFense for Intrusion Detection Against Adversarial Attacks   
Onat Gungor, Tajana Rosing and Baris Aksanli
Beyond Random Inputs: A Novel ML-Based Hardware Fuzzing   
Mohamadreza Rostami, Marco Chilese, Shaza Zeitouni, Rahul Kande, Jeyavijayan Rajendran and Ahmad-Reza Sadeghi
HDCircuit: Brain-inspired Hyperdimensional Computing for Circuit Recognition   
Paul Genssler, Lilas Alrahis, Ozgur Sinanoglu and Hussam Amrouch
Securing ISW Masking Scheme Against Glitches   
Sofiane Takarabt, Mohammad Ebrahimabadi, Javad Bahrami, Sylvain Guilley and Naghmeh Karimi
Efficient Optimization Techniques For Machine Learning Architectures
BORE: Energy-Efficient Banded Vector Similarity Search with Optimized Range Encoding for Memory-Augmented Neural Network   
Chi-Tse Huang, Cheng-Yang Chang, Hsiang-Yun Cheng and An-Yeu Andy Wu
Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference   
Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Jiangsu Du and Yutong Lu
DIAPASON: Differentiable Allocation, Partitioning and Fusion of Neural Networks for Distributed Inference   
Federico Peccia, Alexander Viehl and Oliver Bringmann
DiMO-Sparse: Differentiable Modeling and Optimization of Sparse CNN Dataflow and Hardware Architecture   
Jianfeng Song, Rongjian Liang, Yu Gong, Bo Yuan and Jiang Hu
GPACE: An Energy-Efficient PQ-based GCN Accelerator with Redundancy Reduction   
Yibo Du, Shengwen Liang, Ying Wang, Huawei Li, Xiaowei Li and yinhe han
Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation   
Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi and Massoud Pedram
ViT-ToGo : Vision Transformer Accelerator with Grouped Token Pruning   
Seungju Lee, Kyumin Cho, Eunji Kwon, Sejin Park, Seojeong Kim and Seokhyeong Kang
SEA: Sign-Separated Accumulation Scheme for Resource-Efficient DNN Accelerators   
Jing Gong, Hassaan Saadat, Haris Javaid, Hasindu Gamaarachchi, David Taubman and Sri Parameswaran
Towards Forward-Only Learning for Hyperdimensional Computing   
Hyunsei Lee, Hyukjun Kwon, Jiseung Kim, Seohyun Kim, Mohsen Imani and Yeseong Kim
Special Day on Sustainable Computing Lunchtime Keynote
Data Center Demand Response for Sustainable Computing: Myth or Opportunity?   
Ayse Coskun
Architecture And Interconnect Design
NOVA: NoC-based Vector Unit for Mapping Attention Layers on a CNN Accelerator   
Mohit Upadhyay, Rohan Juneja, Weng-Fai Wong and Li-Shiuan Peh
IndexMAC: A Custom RISC-V Vector Instruction to Accelerate Structured-Sparse Matrix Multiplications   
Vasileios Titopoulos, Kosmas Alexandridis, Christodoulos Peltekis, Chrysostomos Nicopoulos and Giorgos Dimitrakopoulos
LRSCwait: Enabling Scalable and Efficient Synchronization in Manycore Systems through Polling-Free and Retry-Free Operation   
Samuel Riedel, Marc Gantenbein, Alessandro Ottaviano, Torsten Hoefler and Luca Benini
MACO: Exploring GEMM Acceleration on a Loosely-Coupled Multi-core Processor   
Bingcai Sui, Junzhong Shen, Caixia Sun, Junhui Wang, Zhong Zheng and Wei Guo
DRAM-Locker: A General-Purpose DRAM Protection Mechanism against Adversarial DNN Weight Attacks   
Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin and Shaahin Angizi
Towards Scalable GPU System with Silicon Photonic Chiplet   
Chengeng Li, Fan Jiang, Shixi Chen, Xianbin LI, Jiaqi Liu, Wei Zhang and Jiang Xu
Near-Memory Parallel Indexing and Coalescing: Enabling Highly Efficient Indirect Access for SpMV   
Chi Zhang, Paul Scheffler, Thomas Benz, Matteo Perotti and Luca Benini
STAR: Sum-Together/Apart Reconfigurable Multipliers for Precision-Scalable ML Workloads   
Edward Manca, Luca Urbinati and Mario R. Casu
Harnessing ML Privacy by Design Through Crossbar Array Non-idealities   
Md Shohidul Islam, Sankha B Dutta, Andres Marquez, Ihsen Alouani and Khaled Khasawneh
Approximate And Efficient Computing
PACE: A Piece-Wise Approximate and Configurable Floating-Point Divider for Energy-Efficient Computing   
Chenyi Wen, Haonan Du, Zhengrui Chen, Li Zhang, QI SUN and Cheng Zhuo
AttBind: Memory-efficient Acceleration for Long-range Attention using Vector-derived Symbolic Binding   
Weihong Xu, Jaeyoung Kang and Tajana Rosing
A Stochastic Rounding-Enabled Low-Precision Floating-Point MAC for DNN Training   
Sami BEN ALI, Olivier Sentieys and Silviu-Ioan Filip
DAISM: Digital Approximate In-SRAM Multiplier-based Accelerator for DNN Training and Inference   
Lorenzo Sonnino, Shaswot Shresthamali, Yuan He and Masaaki Kondo
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs   
Florentia Afentaki, Michael Hefenbrock, Georgios Zervakis and Mehdi Tahoori
A configurable approximate multiplier for CNNs using partial product speculation   
Xiaolu Hu, Ao Liu, Xinkuang Geng, Zizhong Wei, Kai Jiang and Honglan Jiang
ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer   
Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang and Ru Huang
A Modular Branch Predictor Performance Analysis Framework for Fast Design Space Exploration   
Ya Wang, Hanwei FAN, Sicheng Li, Tingyuan Liang and Wei ZHANG
CLAST: Cross-Layer Approximate High-Level Synthesis with Configurable Approximate Three-Operand Adders   
Jian Shi, Wenjing Zhang and Weikang Qian
Embedded Software And Tool Chains
ECM: Improving IoT Throughput with Energy-Aware Connection Management   
Fatemeh Ghasemi, Lukas Liedtke and Magnus Jahre
Full-Stack Optimization for CAM-Only DNN Inference   
Joao Paulo De Lima, Asif Ali Khan, Luigi Carro and Jeronimo Castrillon
Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-core NPUs   
Younghyun Lee, Hyejun Kim, Yongseung Yu, Myeongjin Cho, Jiwon Seo and Yongjun Park
CLSA-CIM: A Cross-Layer Scheduling Approach for Computing-in-Memory Architectures   
Rebecca Pelke, José Cubero-Cascante, Nils Bosbach, Felix Staudigl, Rainer Leupers and Jan Moritz Joseph
High Throughput Hardware Accelerated CoreSight Trace Decoding   
Matthew Edwin Weingarten, Nora Hossle and Timothy Roscoe
Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks   
Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann and Bing Li
Performance Analysis and Optimizations of Matrix Multiplications on ARMv8 Processors   
Hucheng Liu, Shaohuai Shi, Xuan Wang, Zoe L. Jiang and Qian Chen
A Compiler Phase to Optimally Split GPU Wavefronts for Safety-Critical Systems   
Artem Klashtorny, Mahesh Tripunitara and Hiren Patel
Lightweight Instrumentation for Accurate Performance Monitoring in RTOSes   
Bruno Endres Forlin, Kuan-Hsun Chen, Nikolaos Alachiotis, Luca Cassano and Marco Ottavi
Focus Session: Resilient Cognitive Sensing And Inference In Distributed And Dynamic Environments
HaLo-FL: Hardware-Aware Low-Precision Federated Learning   
Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra and Priyadarshini Panda
Cognitive Sensing for Energy-efficient Edge Intelligence   
Minah Lee, Sudarshan Sharma, Wei Chun Wang, Hemant Kumawat, Nael Mizanur Rahman and Saibal Mukhopadhyay
Unearthing the Potential of Spiking Neural Networks   
Sayeed Shafayet Chowdhury, Adarsh Kosta, Deepika Sharma, Marco Apolinario and Kaushik Roy
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics   
Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex Stutts and Amit Trivedi
Architectural And Microarchitectural Design Solutions
ViTA: A Highly Efficient Dataflow and Architecture for Vision Transformers   
Chunyun Chen, Lantian Li and Mohamed M. Sabry Aly
Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformer   
Xueyuan Liu, Zhuoran Song, Xiang Liao, Xing Li, Tao Yang, Fangxin Liu and Xiaoyao Liang
Efficient Design of a Hyperdimensional Processing Unit for Multi-Layer Cognition   
Mohamed Ibrahim, Youbin Kim and Jan Rabaey
EcoFlex-HDP: High-Speed and Low-Power and Programmable Hyperdimensional-Computing Platform with CPU Co-processing   
Yuya Isaka, Nau Sakaguchi, Michiko Inoue and Michihiro Shintani
Accelerating Chaining in Genomic Analysis Using RISC-V Custom Instructions   
Kisaru Liyanage, Hasindu Gamaarachchi, Hassaan Saadat, Tuo Li, Hiruna Samarakoon and Sri Parameswaran
ONE SA: Enabling Nonlinear Operations in Systolic Arrays For Efficient and Flexible Neural Network Inference   
Ruiqi Sun, Yinchen Ni, Jie Zhao, Xin He and An Zou
DeepFrack: A Comprehensive Framework for Layer Fusion, Face Tiling, and Efficient Mapping in DNN Hardware Accelerators   
Tom Glint, Mithil Pechimuthu and Joycee Mekie
S-LGCN: Software-hardware co-design for accelerating LightGCN   
Shun Li, Ruiqi Chen, Enhao Tang, Jing Yang, Yajing Liu and Kun Wang
FLInt: Exploiting Floating Point Enabled Integer Arithmetic for Efficient Random Forest Inference   
Christian Hakert, Kuan-Hsun Chen and Jian-Jia Chen
I²SR: Immediate Interrupt Service Routine on RISC-V MCU to Control mmWave RF Transceivers   
Jimin Lee, Sangwoo Park, Junho Huh, Sanghyo Jeong, Inhwan Kim and Jae Min Kim
Verified Real-Time Systems
Fault-Tolerant Cyclic Queuing and Forwarding in Time-Sensitive Networking   
Liwei Zhang, Tong Zhang, Wenxue Wu, Xiaoqin Feng, Guoxi Lin and Fengyuan Ren
Hardware-Assisted Control-Flow Integrity Enhancement for IoT Devices   
Weiyi Wang, Lang Feng, Zhiguo Shi, Cheng Zhuo and Jiming Chen
PP-HDC: A Privacy-Preserving Inference Framework For Hyperdimensional Computing   
Ruixuan Wang, Wengying Wen, Kyle Juretus and Xun Jiao
Shared Cache Analysis under Preemptive Scheduling   
Thilo Fischer and Heiko Falk
Shared Data Kills Real-Time Cache Analysis. How to Resurrect It?   
Safin Bayes, Mohamed Hossam and Mohamed Hassan
Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems   
Niraj Kumar, Chuanchao Gao and Arvind Easwaran
Real-Time Multi-Person Identification and Tracking via HPE and IMU Data Fusion   
Nicola Bombieri, Mirco De Marchi, Graziano Pravadelli and Cristian Turetta
AXI-REALM: A Lightweight and Modular Interconnect Extension for Traffic Regulation and Monitoring of Heterogeneous Real-Time SoCs   
Thomas Benz, Alessandro Ottaviano, Robert Balas, Angelo Garofalo, Francesco Restuccia, Alessandro Biondi and Luca Benini
SGPRS: Seamless GPU Partitioning Real-Time Scheduler for Periodic Deep Learning Workloads   
Amir Fakhim Babaei and Thidapat (Tam) Chantem
Lightweight and predictable memory virtualization on medium-size microcontrollers   
Stefano Mercogliano, Daniele Ottaviano, Alessandro Cilardo and Marcello Cinque
Motivating the Use of Machine-Learning For Improving Timing Behaviour of Embedded Mixed-Criticality Systems   
Vikash Kumar, Behnaz Ranjbar and Akash Kumar
Integrity And Ip Protection For Security-Critical Circuits
Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning   
Rahul Vishwakarma and Amin Rezaei
Programmable EM Sensor Array for Golden-Model Free Run-time Trojan Detection and Localization   
Hanqiu Wang, Max Panoff, Zihao Zhan, Shuo Wang, Christophe Bobda and Domenic Forte
KRATT: QBF-Assisted Removal and Structural Analysis Attack Against Logic Locking   
Levent Aksoy, Muhammad Yasin and Samuel Pagliarini
TroScan: Enhancing On-Chip Delivery Resilience to Physical Attack through Frequency-Triggered Key Generation   
Jianfeng Wang, Shuwen Deng, Huazhong Yang, Vijaykrishnan Narayanan and Xueqing Li
A Golden-Free Formal Method for Trojan Detection in Non-Interfering Accelerators   
Anna Lena Duque Antón, Johannes Müller, Lucas Deutschmann, Mohammad Rahmani Fadiheh, Dominik Stoffel and Wolfgang Kunz
TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust   
Emanuele Parisi, Alberto Musa, Simone Manoni, Maicol Ciani, Davide Rossi, Francesco Barchi, Andrea Bartolini and Andrea Acquaviva
RL-TPG: Automated Pre-Silicon Security Verification through Reinforcement Learning-Based Test Pattern Generation   
Nurun Mondol, Arash Vafaei, Kimia Zamiri Azar, Farimah Farahmandi and Mark Tehranipoor
A Concealable RRAM Physical Unclonable Function Compatible with In-Memory Computing   
Jiang Li, Yijun Cui, Chenghua Wang, Weiqiang Liu and Shahar Kvatinsky
Automated Hardware Security Countermeasure Integration inside High-Level Synthesis   
Amalia Koufopoulou, Athanasios Papadimitriou, Mihalis Psarakis and David Hély
ScanCamouflage: Obfuscating Scan Chains with Camouflaged Sequential and Logic Gates   
Tarik Ibrahimpasic, Grace Li Zhang, Michaela Brunner, Georg Sigl, Bing Li and Ulf Schlichtmann
Low-Power And Energy-Efficient Design
Algorithm-hardware co-design for Energy-Efficient A/D conversion in ReRAM-based accelerators   
Chenguang Zhang, Zhihang Yuan, Xingchen Li and Guangyu Sun
An Efficient Asynchronous Circuits Design Flow with Backward Delay Propagation Constraint   
Lingfeng Zhou, Shanlin Xiao, Huiyao Wang, Jinghai Wang, Zeyang Xu, Bohan Wang and Zhiyi Yu
PELS: A Lightweight and Flexible Peripheral Event Linking System for Ultra-Low Power IoT Processors   
Alessandro Ottaviano, Robert Balas, Philippe Sauter, Manuel Eggimann and Luca Benini
Attention-Based EDA Tool Parameter Explorer: From Hybrid Parameters to Multi-QoR metrics   
Donger Luo, QI SUN, Qi Xu, Tinghuan Chen and Hao Geng
Parallel Multi-objective Bayesian Optimization Framework for CGRA Microarchitecture   
Bing Li, Wendi Sun, Xiaobing Ni, Kaixuan He, Qi Xu, Song Chen and Yi Kang
Efficient Spectral-Aware Power Supply Noisy Analysis for Low-Power Design Verification   
Yinuo Bai, Xiaoyu Yang, Yicheng Lu, Dan Niu, Cheng Zhuo, Zhou Jin and Weifeng Liu
Compact Powers-of-Two: An Efficient Non-Uniform Quantization for Deep Neural Networks   
Xinkuang Geng, Siting Liu, Jianfei Jiang, Kai Jiang and Honglan Jiang
TreeRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware Design   
Jonas Crols, Guilherme Paim, Shirui Zhao and Marian Verhelst
DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices   
Yushu Wu, Chao Wu, Geng Yuan, Yanyu Li, Weichao Guo, Jing Rao, Xipeng Shen, Bin Ren and Yanzhi Wang
LESS: Low-power Energy-efficient Subgraph Isomorphism on FPGA   
Roberto Bosio, Giovanni Brignone, Filippo Minnella, Muhammad Usman Jamal and Luciano Lavagno
Applications Of Emerging Technologies
High-Performance Data Mapping for BNNs on PCM-based Integrated Photonics   
Taha Shahroodi, Raphael Cardoso, Alberto Bosio, Stephan Wong, Ian O'Connor and Said Hamdioui
uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing   
Sercan Aygun, Mehran Shoushtari Moghadam and M. Hassan Najafi
Towards Reliable and Energy-Efficient RRAM based Discrete Fourier Transform Accelerator   
Jianan Wen, Andrea Baroni, Eduardo Perez, Max Uhlmann, Markus Fritscher, Karthik KrishneGowda, Markus Ulbricht, Christian Wenger and Milos Krstic
Dynamic Reconfigurable Security Cells based on Emerging Devices Integrable in FDSOI Technology   
Niladri Bhattacharjee, Viktor Havel, Nima Kavand, Jorge Navarro Quijada, Akash Kumar, Thomas Mikolajick and Jens Trommer
Analog Printed Spiking Neuromorphic Circuit   
Priyanjana Pal, Haibin Zhao, Maha Shatta, Michael Hefenbrock, Sina Bakhtavari Mamaghani, Sani Nassif, Michael Beigl and Mehdi Tahoori
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training   
Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li and Priyadarshini Panda
SCGen: A Versatile Generator Framework for Agile Design of Stochastic Circuits   
Zexi Li, Haoran Jin, Kuncai Zhong, Guojie Luo, Runsheng Wang and Weikang Qian
Approximation Algorithm for Noisy Quantum Circuit Simulation   
Mingyu Huang, Ji Guan, Wang Fang and Mingsheng Ying
RTSA: An RRAM-TCAM based In-Memory-Search Accelerator for Sub-100 μs Collision Detection   
Jiahao Sun, Fangxin Liu, Yijian Zhang, Li Jiang and Rui Yang
Towards Cycle-based Shuttling for Trapped-Ion Quantum Computers   
Daniel Schoenberger, Stefan Hillmich, Matthias Brandl and Robert Wille
Towards Atomic Defect-Aware Physical Design of Silicon Dangling Bond Logic on the H-Si(100)-2x1 Surface   
Marcel Walter, Jeremiah Croshaw, Samuel Sze Hang Ng, Konrad Walus, Robert Wolkow and Robert Wille
Design And Test Of Hardware Security Primitives
Aloha-HE: A Low-Area Hardware Accelerator for Client-Side Operations in Homomorphic Encryption   
Florian Krieger, Florian Hirner, Ahmet Can Mert and Sujoy Sinha Roy
ESC-NTT: An Elastic, Seamless and Compact Architecture for Multi-Parameter NTT Acceleration   
Zhenyu Guan, Yongqing Zhu, Yicheng Huang, Luchang Lei, Xueyan Wang, Hongyang Jia, Yi Chen, Bo Zhang, Jin Dong and Song Bian
SpecScope: Automating Discovery of Exploitable Spectre Gadgets on Black-box Microarchitectures   
Najmeh Nazari, Behnam Omidi, Chongzhou Fang, Hosein Mohammadi Makrani, Setareh Rafatirad, Avesta Sasan, Houman Homayoun and Khaled N. Khasawneh
CycPUF: Cyclic Physical Unclonable Function   
Michael Dominguez and Amin Rezaei
Modeling Attack Tests and Security Enhancement of the Sub-threshold Voltage Divider Array PUF   
Shengjie Zhou, Yongliang Chen, Xiaole Cui and yun Liu
Enhancing Side-Channel Attacks through X-Ray-Induced Leakage Amplification   
Nasr-eddine Ouldei Tebina, Luc Salvo, Laurent Maingault, Nacer-Eddine Zergainoh, Guillaume Hubert and Paolo Maistri
PhotonNTT: Energy-efficient Parallel Photonic Number Theoretic Transform Accelerator   
Xianbin LI, Jiaqi Liu, Yuying ZHANG, Yinyi LIU, Jiaxu ZHANG, Chengeng Li, Shixi Chen, Yuxiang Fu, Fengshi Tian, Wei ZHANG and Jiang Xu
MABFuzz: Multi-Armed Bandit Algorithms for Fuzzing Processors   
Vasudev Gohil, Rahul Kande, Chen Chen, Jeyavijayan Rajendran and Ahmad-Reza Sadeghi
Parasitic Circus: On the Feasibility of Golden-Free PCB Verification   
Maryam Saadat Safa, Patrick Schaumont and Shahin Tajik
Late Breaking Results: Breakthrough Architecture with innovative technologies, Design & Test methodologies
Late Breaking Results: Single Flux Quantum based Brownian Circuits for Ultra-Low-Power Computing   
Satoshi Kawakami, Yusuke Ohtsubo, Koji Inoue and Masamitsu Tanaka
A Scalable Low-Latency FPGA Architecture for Spin Qubit Control through Direct Digital Synthesis   
Mathieu TOUBEIX, Eric Guthmuller, Adrian Evans and Tristan Meunier
MNT Bench: Benchmarking Software and Layout Libraries for Field-coupled Nanocomputing   
Simon Hofmann, Marcel Walter and Robert Wille
Hidden Cost of Circuit Design with RFETs   
Sajjad Parvin, Chandan Jha, Frank Sill Torres and Rolf Drechsler
Optimizing Offload Performance in Heterogeneous MPSoCs   
Luca Colagrande and Luca Benini
Breaking the Memory Wall with a Flexible Open-Source L1 Data-Cache   
Davy Million, Noelia Oliete-Escuín and César Fuguet
LLM-guided Formal Verification Coupled with Mutation Testing   
Muhammad Hassan, Sallar Ahmadi-Pour, Khushboo Qayyum, Chandan Kumar Jha and Rolf Drechsler
Scan-chain Optimization with Constrained Single Linkage Clustering and Geometry-based Cluster Balancing   
Gireesh kumar K M, George Antony, Naiju Karim Abdul and Rahul Rao
ObfusGate: Representation Learning-Based Gatekeeper for Hardware-Level Obfuscated Malware Detection   
Zhangying He, Chelsea William Fernandes and Hossein Sayadi
Multi-Partner Projects
AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques   
Giulia Elena Aliffi, Joao Baixinho, Dalibor Barri, Francesco Daghero, Nicola Di Carolo, Gabriele Faraone, Michelangelo Grosso, Daniele Jahier Pagliari, Jiri Jakovenko, Vladimír Janíček, Dario Licastro, Vazgen Melikyan, Matteo Risso, Vittorio Romano, Eugenio Serianni, Martin Štastný, Patrik Vacula, Giorgia Vitanza and Chen Xie
Design Automation for Cyber-Physical Production Systems: Lessons Learned from the DeFacto Project   
Michele Lora, Sebastiano Gaiardelli, Chanwook Oh, Stefano Spellini, Pierluigi Nuzzo and Franco Fummi
Formal Methods for High Integrity GPU Software Development and Verification   
Dimitris Aspetakis, Leonidas Kosmidis, Jose Ruiz and Gabor Marosy
The METASAT Model-Based Engineering Workflow and Digital Twin Concept   
Alejandro J. Calderon, Irune Yarza, Stefano Sinisi, Lorenzo Lazzara, Valerio Di Valerio, Giulia Stazi, Leonidas Kosmidis, Matina Maria Trompouki, Alessandro Ulisse, Aitor Amonarriz and Peio Onaindia
An AI-Enabled Framework for Smart Semiconductor Manufacturing   
Khaled Sidahmed Sidahmed Alamin, Davide Appello, Alessandro Beghi, Nicola Dall'Ora, Fabio Depaoli, Santa Di Cataldo, Franco Fummi, Sebastiano Gaiardelli, Michele Lora, Enrico Macii, Alessio Mascolini, Daniele Pagano, Francesco Ponzio, Gian Antonio Susto and Sara Vinco
Design Automation for Quantum Computing: Intermediate Stage Report of the ERC Consolidator Grant "DAQC"   
Robert Wille
Focus Session: Smoothing Disruption Across The Stack: Tales Of Memory, Heterogeneity, And Compilers
Smoothing Disruption Across the Stack: Tales of Memory, Heterogeneity, and Compilers   
Julien Ryckaert, Michael Niemier, Zephan Enciso, Mohammad Mehdi Sharifi, X. Sharon Hu, Ian O'Connor, Alexander Graening, Ravit Sharma, Puneet Gupta, Jeronimo Castrillon, Joao Paulo De Lima, Asif Ali Khan, Hamid Farzaneh, Nashrah Afroze and Asif Khan
Advanced Formal Methods And Verification
Deductive Formal Verification of Synthesizable, Transaction-level Hardware Designs Using Coq   
Tobias Strauch
Formal Verification of Booth Radix-8 and Radix-16 Multipliers   
Mertcan Temel
PURSE: Property Ordering Using Runtime Statistics for Efficient Multi-Property Verification   
Sourav Das, Aritra Hazra, Pallab Dasgupta, Sudipta Kundu and Himanshu Jain
Parallel Grobner Basis Rewriting and Memory Optimization for Efficient Multiplier Verification   
Hongduo Liu, Peiyu Liao, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho and Bei Yu
Formal Verification of Secure Boot Process   
sriram vasudevan, PRASANNA RAVI, Arpan Jati, Shivam Bhasin and Anupam Chattopadhyay
Complete and Efficient Verification for a RISC-V Processor using Formal Verification   
Lennart Weingarten, Kamalika Datta, Abhoy Kole and Rolf Drechsler
A Transistor Level Relational Semantics for Electrical Rule Checking by SMT Solving   
Oussama Oulkaid, Bruno Ferres, Matthieu Moy, Pascal Raymond, Mehdi Khosravian, Ludovic Henrio and Gabriel Radanne
LLM-based Processor Verification: A Case Study for Neuromorphic Processor   
Chao Xiao, Yifei Deng, Zhijie Yang, Renzhi Chen, Hong Wang, Jingyue Zhao, Huadong Dai, Lei Wang, Yuhua Tang and Weixia Xu
Range-Based Run-time Requirement Enforcement of Non-Functional Properties on MPSoCs   
Khalil Esper, Stefan Wildermann and Jürgen Teich
AsymSAT: Accelerating SAT Solving with Asymmetric Graph-based Model Prediction   
Zhiyuan Yan, Min Li, Zhengyuan Shi, Wenjie Zhang, Yingcong Chen and Hongce Zhang
A Hybrid Approach to Reverse Engineering on Combinational Circuits   
Wuqian Tang, Yi-Ting Li, Kai-Po Hsu, Kuan-Ling Chou, You-Cheng Lin, Chia-Feng Chien, Tzu-Li Hsu, Yung-Chih Chen, Ting-Chi Wang, Shih-Chieh Chang, TingTing Hwang and Chun-Yao Wang
Physical Analysis And Design
CTRL-B: Back-End-Of-Line Configuration Pathfinding using Cross-Technology Transferable Reinforcement Learning   
Sung-Yun Lee, Kyungjun Min and Seokhyeong Kang
A Deep-learning-based Statistical Timing Prediction Method for Sub-16nm Technologies   
Jiajie Xu, Leilei Jin, Wenjie Fu, Hao Yan and Longxing Shi
Standard Cell Layout Generator Amenable to Design Technology Co-Optimization in Advanced Process Nodes   
Handong Cho, Hyunbae Seo, Sehyeon Chung, Kyu-Myung Choi and Taewhan Kim
BOXGB: Design Parameter Optimization with Systematic Integration of Bayesian Optimization and XGBoost   
Chanhee Jeon, Doyeon Won, Jaewan Yang, Kyu-Myung Choi and Taewhan Kim
Miracle: Multi-Action Reinforcement Learning-Based Chip Floorplanning Reasoner   
Bo Yang, Qi Xu, Hao Geng, Song Chen and Yi Kang
Circuits Physics Constrained Predictor of Static IR Drop with Limited Data   
Yuan Meng, Ruiyu Lyv, Zhaori Bi, Changhao Yan, Fan Yang, Wenchuang Hu, Dian Zhou and Xuan Zeng
Reinforcement Learning-Based Optimization of Back-side Power Delivery Networks in VLSI Design for IR-drop Reduction   
Seungmin Woo, Hyunsoo Lee, Yunjeong Shin, MinSeok Han, Yunjeong Go, Jongbeom Kim, Hyundong Lee, Hyunwoo Kim and Taigon Song
Learning Circuit Placement Techniques through Reinforcement Learning with Adaptive Rewards   
Luke Vassallo and Josef Bajada
Training Better CNN Models for 3-D Capacitance Extraction with Neural Architecture Search   
Haoyuan Li, Dingcheng Yang and Wenjian Yu
RLPlanner: Reinforcement Learning based Floorplanning for Chiplets with Fast Thermal Analysis   
Yuanyuan Duan, Xingchen Liu, Zhiping Yu, Hanming Wu, Leilai Shao and Xiaolei Zhu
Learning to Floorplan like Human Experts via Reinforcement Learning   
Binjie Yan, lin xu, Zefang Yu, Mingye Xie, Wei Ran, Jingsheng Gao, Yuzhuo Fu and Ting Liu
Efficient Computing Paradigms For Specific Applications
CPF: A Cross-Layer Prefetching Framework for High-Density Flash-based Storage   
Longfei Luo, Han Wang, Yina Lv, Dingcui Yu and Liang Shi
A Read Latency Variation Aware Independent Read Scheme for QLC SSDs   
Dong Huang, Dan Feng, Qiankun Liu, Bo Ding, Xueliang Wei, Wei Zhao and Wei Tong
Adaptive DRAM Cache Division for Computational Solid-state Drives   
Shuaiwen Yu, zhibing sha, Chengyong Tang, Zhigang Cai, Peng Tang, Min Huang, Jun Li and Jianwei Liao
LoADM: Load-aware Directory Migration Policy in Distributed File Systems   
Yuanzhang Wang, Peng Zhang, Fengkui Yang, Ke Zhou and Chunhua Li
Accelerating Machine Learning-Based Memristor Compact Modeling Using Sparse Gaussian Process   
Yuta Shintani, Michiko Inoue and Michihiro Shintani
DropHD: Technology/Algorithm Co-design for Reliable Energy-efficient NVM-based Hyperdimensional Computing under Voltage Scaling   
Paul Genssler, Mahta Mayahinia, Simon Thomann, Mehdi Tahoori and Hussam Amrouch
An Autonomic Resource Allocating SSD   
Dongjoon Lee, Jongin Choe, Chanyoung Park, Kyungtae Kang, Mahmut Kandemir and Wonil Choi
Sparrow: Flexible Memory Deduplication in Android Systems with Similar-Page Awareness   
Guangyu Wei, Changlong Li, Rui Xu, Qingfeng Zhuge and Edwin H.-M. Sha
Intelligent Hybrid Memory Scheduling Based on Page Pattern Recognition   
Yanjie Zhen, Weining Chen, Wei Gao, Ju Ren, Kang Chen and Yu Chen
Extending SSD Lifetime via Balancing Layer Endurance in 3D NAND Flash Memory   
Siyi Huang, Yajuan Du, Yi Fan and Cheng Ji
Special Day on Responsible and Robust AI Lunchtime Keynote
Responsible Artificial Intelligence Systems: From trustworthiness to governance   
Francisco Herrera
Focus Session: Towards Large Scale Quantum Computing Design: The Quest From Automatic Methods And Tools To Integrated EDA Frameworks
From Designing Quantum Processors to Large-Scale Quantum Computing Systems   
Carmen G. Almudever, Robert Wille, Fabio Sebastiano, Nadia Haider and Eduard Alarcon
Logical And Physical Analysis And Design
Scalable Logic Rewriting Using Don't Cares   
Alessandro Tempia Calvino and Giovanni De Micheli
A Semi-Tensor Product based Circuit Simulation for SAT-sweeping   
Hongyang Pan, Ruibing Zhang, Lunyao Wang, Yinshui Xia, Zhufei Chu, Fan Yang and Xuan Zeng
BESWAC: Boosting Exact Synthesis via Wiser SAT Solver Call   
Sunan Zou, Jiaxi Zhang, Bizhao Shi and Guojie Luo
CBTune: Contextual Bandit Tuning for Logic Synthesis   
Fangzhou Liu, Zehua Pei, Ziyang Yu, Haisheng Zheng, Zhuolun He, Tinghuan Chen and Bei Yu
Fast IR-Drop Prediction of Analog Circuits Using Recurrent Synchronized GCN and Y-Net Model   
Seunggyu Lee, Daijoon Hyun, Younggwang Jung, Gangmin Cho and Youngsoo Shin
Standard Cells Do Matter: Uncovering Hidden Connections for High-Quality Macro Placement   
Xiaotian Zhao, Tianju Wang, Run Jiao and Xinfei Guo
Electrostatics-Based Analytical Global Placement for Timing Optimization   
Zhifeng Lin, Min Wei, Yilu Chen, Peng Zou, Jianli Chen and Yao-Wen Chang
Improvement of Mixed Track-Height Standard-Cell Placement   
Andrew Kahng, Seokhyeong Kang and Minhyuk Kweon
BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation   
Yingjie Li, Anthony Agnesina, Yanqing Zhang, Haoxing Ren and Cunxi Yu
An Efficient Logic Operation Scheduler for Minimizing Memory Footprint of In-Memory SIMD Computation   
Xingyue Qian, Zhezhi He and Weikang Qian
Test Generation, Test Architectures, Design For Test, And Diagnosis
Gradient Boosting-accelerated Evolution for Multiple-Fault Diagnosis   
Hongfei Wang, Chenliang Luo, Deqing Zou, Hai Jin and Wenjie Cai
A Novel March Test Algorithm for Testing 8T SRAM-based IMC Architectures   
Lila Ammoura, Marie-Lise Flottes, Patrick Girard, Jean-Philippe Noel and Arnaud Virazel
Reliable Interval Prediction of Minimum Operating Voltage Based on On-chip Monitors via Conformalized Quantile Regression   
Yuxuan Yin, Xiaoxiao Wang, Rebecca Chen, Chen He and Peng Li
PA-2SBF: Pattern-Adaptive Two-Stage Bloom Filter for Run-time Memory Diagnostic Data Compression in Automotive SoCs   
Sunyoung Park, Hyunji Kim, Hana Kim and Ji-Hoon Kim
Device-Aware Diagnosis for Yield Learning in RRAMs   
Hanzhi Xun, Moritz Fieback, Sicong Yuan, Hassan AZIZA, Mottaqiallah Taouil and Said Hamdioui
Testing Algorithms for Hard to Detect Thermal Crosstalk Induced Write Disturb Faults in Phase Change Memories   
Spyridon Spyridonos and Yiorgos Tsiatouhas
On Gate Flip Errors in Computing-In-Memory   
Zamshed Iqbal Chowdhury, Husrev Cilasun, Salonik Resch, Masoud Zabihi, Yang Lv, Brandon Zink, Jian-Ping Wang, Sachin S. Sapatnekar and Ulya Karpuzcu
Guided Fault Injection Strategy for Rapid Critical Bit Detection in Radiation-Prone SRAM-FPGA   
Trishna Rajkumar and Johnny Öberg
In-field Detection of Small Delay Defects and Runtime Degradation using On-Chip Sensors   
Seyedehmaryam Ghasemi, Sergej Meschkov, Jonas Krautter, Dennis Gnad and Mehdi Tahoori
Advances On Edge Machine Learning: From Device To Architecture And Application
MATAR: Multi-Quantization-Aware Training for Accurate and Fast Hardware Retargeting   
Pierpaolo Mori, Moritz Thoma, Lukas Frickenstein, Shambhavi Balamuthu Sampath, Nael Fasfous, Manoj Rohit Vemparala, Alexander Frickenstein, Walter Stechele, Daniel Mueller-Gritschneder and Claudio Passerone
Resource-efficient Heterogenous Federated Continual Learning on Edge   
Zhao Yang, Shengbing Zhang, Chuxi Li, Haoyang Wang and Meng Zhang
FMTT: Fused Multi-head Transformer with Tensor-compression for 3D Point Clouds Detection on Edge Devices   
Zikun Wei, Tingting Wang, Chenchen Ding, Bohan Wang, Hantao Huang and Hao Yu
XiNet-pose: Extremely lightweight pose detection for microcontrollers   
Alberto Ancilotto, Francesco Paissan and Elisabetta Farella
Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers   
Wei Tao, Shenglin He, Kai Lu, Xiaoyang Qu, Guokuan Li, Jiguang Wan, Jianzong Wang and Jing Xiao
Tiny-VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging   
ABDUL RAHOOF, Vivek Chaturvedi, Mahesh Raveendranatha Panicker and Muhammad Shafique
Decentralized Federated Learning in Partially Connected Networks with Non-IID Data   
Xiaojun Cai, Nanxiang Yu, Mengying Zhao, Mei Cao, Tingting Zhang and Jianbo Lu
CRISP: Hybrid Structured Sparsity for Class-aware Model Pruning   
Shivam Aggarwal, Kuluhan Binici and Tulika Mitra
Work In Progress: Linear Transformers for TinyML   
Moritz Scherer, Cristian Cioflan, Michele Magno and Luca Benini
Deep Quasi-Periodic Priors: Signal Separation in Wearable Systems with Limited Data   
Mahya Saffarpour, Kourosh Vali, Weitai Qian, Begum Kasap, Diana L. Farmer, Aijun Wang and Soheil Ghiasi
Multi-Partner Projects
KIHT: Kaligo-based Intelligent Handwriting Teacher   
Tanja Harbaum, Alexey Serdyuk, Fabian Kreß, Tim Hamann, Jens Barth, Peter Kämpf, Florent Imbert, Yann Soullard, Romain Tavenard, Eric Anquetil and Jessica Delahaie
UNCOVER: Data-Driven Design Support through Continuous Monitoring of Security Incidents   
Matthias Stammler, Julian Lorenz, Eric Sax, Juergen Becker, Matthias Hamann, Patrick Bidinger, Andreas Dewald, Paraskevi Georgouti, Alexios Camarinopoulos, Günter Becker, Klaus Finsterbusch, Maximilian Kirschner, Laurenz Adolph, Carl Philipp Hohl, Maria Rill, Daniel Vonderau and Victor Pazmino
XANDAR: An X-by-Construction Framework for Safety, Security, and Real-Time Behavior of Embedded Software Systems   
Tobias Dörr, Florian Schade, Juergen Becker, Georgios Keramidas, Nikos Petrellis, Vasilios Kelefouras, Michail Mavropoulos, Konstantinos Antonopoulos, Christos P. Antonopoulos, Nikolaos Voros, Alexander Ahlbrecht, Wanja Zaeske, Vincent Janson, Phillip Nöldeke, Umut Durak, Christos Panagiotou, Dimitris Karadimas, Nico Adler, Clemens Reichmann, Andreas Sailer, Raphael Weber, Thomas Wilhelm, Wolfgang Gabler, Katrin Weiden, Xavier Anzuela Recasens, Sakir Sezer, Fahad Siddiqui, Rafiullah Khan, Kieran McLaughlin, Sena Yengec Tasdemir, Balmukund Sonigara, Henry Hui, Esther Soriano Viguer, Aridane Alvarez Suarez, Vicente Nicolau Gallego, Manuel Muñoz Alcobendas and Miguel Masmano Tello
Auto-tuning Multi-GPU High-Fidelity Numerical Simulations for Urban Air Mobility   
Konstantina Koliogeorgi, Georgios Anagnostopoulos, Gerardo Zampino, Marcial Sanchis Agudo, Ricardo Vinuesa and Sotirios Xydis
A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach   
Christian Pilato, Subhadeep Banik, Jakub Beranek, Fabien Brocheton, Jeronimo Castrillon, Riccardo Cevasco, Radim Cmar, Serena Curzel, Fabrizio Ferrandi, Karl Friebel, Antonella Galizia, Matteo Grasso, Paulo Guimaraes da Silva, Jan Martinovic, Gianluca Palermo, Michele Paolino, Andrea Parodi, Antonio Parodi, Fabio Pintus, Raphael Polig, David Poulet, Francesco Regazzoni, Burkhard Ringlein, Roberto Rocco, Katerina Slaninova, Tom Slooff, Stephanie Soldavini, Felix Suchert, Mattia Tibaldi, Beat Weiss and Christoph Hagleitner
Security layers and related services within the Horizon Europe NEUROPULS project   
Fabio Pavanello, Cédric Marchand, Xavier Letartre, Paul Jimenez, Ricardo Chaves, Niccolò Marastoni, Alberto Lovato, Mariano Ceccato, George Papadimitriou, Vasileios Karakostas, Dimitris Gizopoulos, Roberta Bardini, Tzamn Melendez Carmona, Stefano Di Carlo, Alessandro Savino, Laurence Lerch, Ulrich Ruhrmair, Sergio Vinagrero Gutiérrez, Giorgio Di Natale and Elena Ioana Vatajelu
SECURED for Health: Scaling up privacy to enable the integration of the European health data space   
Francesco Regazzoni, Paolo Palmieri, George Tasopoulos, Marco Brohet, Kyrian Maat, Zoltan Mann, Kostas Papagiannopoulos, Sotirios Ioannidis, Kalliopi Mastoraki, Andrés G. Castillo Sanz, Joppe W. Bos, Gareth T. Davies, SeoJeong Moon, Alice Héliou, Vincent Thouvenot, Katarzyna Kapusta, Pierre-Elisée Flory, Muhammad Ali Siddiqi, Christos Strydis, Stefanos Florescu, Pieter Kruizinga, Daniela Spajic, Maja Nisevic, Alberto Gutierrez-Torre, Josep Berral, Luca Pulina, Francesca Palumbo, Albert Zoltan Aszalos, Peter Pollner, Vassilis Paliuras, Alexander El-Kady, Christos Tselios:, Konstantina Karagianni, Gergely Acs, Balázs Pejó, Christos Avgerinos, Nikolaos Bakalos, Juan Carlos Perez Baun and Apostolos Fournaris
Focus Session: Panel On Resilience Of Deep Learning Applications: Where We Are And Where We Want To Go
Panel on resilience of deep learning applications: where we are and where we want to go   
Cristiana Bolchini and Alberto Bosio
Reconfigurable Systems
AutoWS: Automate Weights Streaming in Layer-wise Pipelined DNN Accelerators   
Zhewen Yu and Christos Bouganis
FlexForge: Efficient Reconfigurable Cloud Acceleration via Peripheral Resource Disaggregation   
Se-Min Lim and Sang-Woo Jun
WideSA: A High Array Utilization Mapping Scheme for Uniform Recurrences on ACAP   
Tuo Dai, Bizhao Shi and Guojie Luo
Optimizing Imperfectly-Nested Loop Mapping on CGRAs via Polyhedral-Guided Flattening   
Xingyu Mo and Dajiang Liu
An Efficient Hypergraph Partitioner under Inter-Block Interconnection Constraints   
Benzheng Li, Hailong You, Shunyang Bi and Yuming Zhang
REDCAP: Reconfigurable RFET-based Circuits Against Power Side-Channel Attacks   
Nima Kavand, Armin Darjani, Giulio Galderisi, Jens Trommer, Thomas Mikolajick and Akash Kumar
Reconfigurable Frequency Multipliers Based on Complementary Ferroelectric Transistors   
Haotian Xu, Jianyi Yang, Cheng Zhuo, Thomas Kampfe, Kai Ni and Xunzhao Yin
FeReX: A Reconfigurable Design of Multi-bit Ferroelectric Compute-in-Memory for Nearest Neighbor Search   
Zhicheng XU, Che-Kai Liu, Chao Li, Ruibin Mao, Jianyi Yang, Thomas K ̈ampfe, Mohsen Imani, Can Li, Cheng Zhuo and Xunzhao Yin
A Framework for Designing Gaussian Belief Propagation Accelerators for use in SLAM Problems   
Omar Sharif and Christos Bouganis
Power-Efficient And Sustainable Computing
MX: Enhancing RISC-V's Vector ISA for Ultra-Low Overhead, Energy-Efficient Matrix Multiplication   
Matteo Perotti, Yichao Zhang, Matheus Cavalcante, Enis Mustafa and Luca Benini
DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems   
Sepehr Tabrizchi, Shaahin Angizi and Arman Roohi
A Multi-bit Near-RRAM based Computing Macro with Highly Computing Parallelism for CNN Application   
Kuan-Chih Lin, Hao Zuo, Hsiang-Yu Wang, Yuan-Ping Huang, Ci-Hao Wu, Yan-Cheng Guo, Shyh-Jye Jou, Tuo-Hung Hou and Tian-Sheuan Chang
Fast Parameter Optimization of Delayed Feedback Reservoir with Backpropagation and Gradient Descent   
Sosei Ikeda, Hiromitsu Awano and Takashi Sato
On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design   
Giorgos Armeniakos, Paula Lozano Duarte, Priyanjana Pal, Georgios Zervakis, Mehdi Tahoori and Dimitrios Soudris
H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations   
Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna and Arijit Raychowdhury
A Hardware Accelerated Autoencoder for RF Communication using Short-Time-Fourier-Transform Assisted Convolutional Neural Network   
Jongseok Woo and Saibal Mukhopadhyay
Model-Driven Feature Engineering for Data-Driven Battery SOH Model   
Khaled Sidahmed Sidahmed Alamin, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Sara Vinco and Massimo Poncino
Search-in-Memory (SiM): Conducting Data-Bound Computations on Flash Memory Chip for Enhanced Efficiency   
Yun-Chih Chen, Yuan-Hao Chang and Tei-Wei Kuo
High-Performance Feature Extraction for GPU-accelerated ORB-SLAMx   
Filippo Muzzini, Nicola Capodieci, Roberto Cavicchioli and Benjamin Rouxel
Design And Test For Analog And Mixed-Signal Circuits And Systems, And Mems
CRONuS: Circuit Rapid Optimization with Neural Simulator   
Youngmin Oh, Doyun Kim, Yoon Hyeok Lee and Bosun Hwang
Self-Learning and Transfer across Topologies of Constraints for Analog / Mixed-Signal Circuit Layout Synthesis   
Kaichang Chen and Georges Gielen
X-PIM: Fast Modeling and Validation Framework for Mixed-Signal Processing-in-Memory Using Compressed Equivalent Model in SystemVerilog   
Ingu Jeong and Jun-Eun Park
tSS-BO: Scalable Bayesian Optimization for Analog Circuit Sizing via Truncated Subspace Sampling   
Tianchen Gu, Jiaqi Wang, Zhaori Bi, Changhao Yan, Fan Yang, Yajie Qin, Tao Cui and Xuan Zeng
Adaptive ODE Solvers for Timed Data Flow Models in SystemC-AMS   
Alexandra Kuester, Rainer Dorsch and Christian Haubelt
Analog Transistor Placement Optimization Considering Non-Linear Spatial Variation   
Supriyo Maji, Sungyoung Lee and David Pan
A Data-Driven Analog Circuit Synthesizer with Automatic Topology Selection and Sizing   
Souradip Poddar, Ahmet Budak, Linran Zhao, Chen-Hao Hsu, Supriyo Maji, Keren Zhu, Yaoyao Jia and David Z. Pan
SAGERoute2.0: Hierarchical Analog and Mixed Signal Routing Considering Versatile Routing Scenarios   
Haoyi Zhang, Xiaohan Gao, Zilong Shen, Jiahao Song, Xiaoxu Cheng, Xiyuan Tang, Yibo Lin, Runsheng Wang and Ru Huang
Trans-Net: Knowledge-Transferring Analog Circuit Optimizer with a Netlist-Based Circuit Representation   
Ho-Jin Lee, Kyeong-Jun Lee, Youngchang Choi, Kyongsu Lee, Seokhyeong Kang and Jae-Yoon Sim
A Novel Multi-objective Optimization Framework for Analog Circuit Customization   
Mutian Zhu, Qiaochu Zhang, Mohsen Hassanpourghadi, Mike Shuo-Wei Chen, Tony Levi and Sandeep Gupta
Late Breaking Results: Innovative AI architecture, circuit and methodology ; Embedded Applications
Designing an Energy-Efficient Fully-Asynchronous Deep Learning Convolution Engine   
Mattia Vezzoli, Lukas Nel, Kshitij Bhardwaj, Rajit Manohar and Maya Gokhale
Fine-Tuning Surrogate Gradient Learning for Optimal Hardware Performance in Spiking Neural Networks   
Ilkin Aliyev and Tosiron Adegbija
ClassONN: Classification with Oscillatory Neural Networks using the Kuramoto Model   
Filip Sabo and Aida Todri-Sanial
Fluid Dynamic DNNs for Reliable and Adaptive Distributed Inference on Edge Devices   
Lei Xun, Mingyu Hu, Hengrui Zhao, Amit Kumar Singh, Jonathon Hare and Geoff Merrett
PIMSIM-NN: An ISA-based Simulation Framework for Processing-in-Memory Accelerators   
Xinyu Wang, Xiaotian Sun, yinhe han and Xiaoming Chen
CiMComp: An Energy Efficient Compute-in-Memory based Comparator for Convolutional Neural Networks   
Kavitha Soundra pandiyan, Bhupendra Singh Reniwal and Binsu J Kailath
A Sound and Complete Algorithm to Identify Independent Variables in a Reactive System Specification   
Montserrat Hermo, Josu Oca and Alexander Bolotov
Late Breaking Results: Iterative Design Automation for Train Control with Hybrid Train Detection   
Stefan Engels and Robert Wille
Towards an embedded system for failure diagnosis in drones using AI and SAC-DM on FPGA   
Rafael Batista, Matthias Nickel, Alexander Lehnert, Sergio Pertuz, Marc Reichenbach, Diana Goehringer and Alisson V. Brito
Environmental Microchanges in WiFi Sensing   
Cristian Turetta, Philipp H. Kindt, Alejandro Masrur, Samarjit Chakraborty, Graziano Pravadelli and Florenc Demrozi