DATE 2023 Awards
2023 EDAA Achievement Award
Jason Cong, UCLA, US
https://www.date-conference.com/edaa-achievement-award-2023-goes-jason-cong
IEEE CEDA Service Award
Cristiana Bolchini, Politecnico di Milano, IT
ESDA / CEDA Phil Kaufman Award 2022:
Giovanni De Micheli, EPFL, CH
IEEE CS TTTC Outstanding Contribution Award
Ian O’Connor, École Centrale de Lyon, FR
ACM SIGDA/CEDA/EDAA PhD Forum Prize
Alessio Burrello, Politecnico di Torino and Università di Bologna, IT
Optimizing Ai: From Network Topology Design To Mcu Deployment
Jatin Arora, CISTER Research Centre, ISEP, IPP, PT
Shared Resource Contention Aware Schedulability Analysis For Multiprocessor Real-Time Systems
EDAA Outstanding Dissertations Award 2023
Topic 1:
Xiaochen Peng, Ph.D
Benchmark Framework for 2-D/3-D Integrated Compute-in-Memory based Machine Learning Accelerator
Topic 2:
Martin Rapp, Ph.D.
Machine Learning for Resource-Constrained Computing Systems
Topic 3:
Zhiyao Xie, Ph.D.
Intelligent Circuit Design and Implementation with Machine Learning
Topic 4:
Hasan Hassan, Ph.D.
Improving DRAM Performance, Reliability, and Security by Rigorously Understanding Intrinsic DRAM operations
DATE Fellow Award 2023
Cristiana Bolchini, Politecnico di Milano, IT
DATE 2023 also presented the DATE Fellow Awards from DATE 2020 to DATE 2022:
DATE 2020 Fellow Award: Jürgen Teich, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), DE
DATE 2021 Fellow Award: Giorgio di Natale, TIMA (CNRS), Grenoble, FR
DATE 2022 Fellow Award: Franco Fummi, University of Verona, IT
DATE Best Paper Awards 2023
Each year the Design, Automation and Test in Europe Conference presents awards to the authors of the best papers. The selection is performed by the award committee composed of the Track Chairs Lukas Sekanina, Alberto Bosio, Ilia Polian and Liliana Cucu and the following members: Katell Morin-Allory, Jeronimo Castrillon, Alessio Spessot, Julio Medina, Jean-Philippe Noel, Lorena Anghel, Dimitris Gizopoulos, Rosa Rodríguez-Montañés, Kazuo Sakiyama, Elke De Mulder, Ahmed Rezine, Cristiana Bolchini, Callie Cong, Julien Forget and Masanori Hashimoto.
D-Track
Hardware Efficient Weight-Binarized Spiking Neural Networks
Chengcheng Tang and Jie Han
University of Alberta, CA
A-Track
Automated Energy-Efficient DNN Compression under Fine-Grained Accuracy Constraints
Ourania Spantidi and Iraklis Anagnostopoulos
Southern Illinois University Carbondale, US
T-Track
Haoyi Zhang, Xiaohan Gao, Haoyang Luo, Jiahao Song, Xiyuan Tang, Junhua Liu, Yibo Lin, Runsheng Wang and Ru Huang
Peking University, CN
E-Track
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation
Zhuoran Song, Heng Lu, Gang Li, Li Jiang, Naifeng Jing and Xiaoyao Liang
Shanghai Jiao Tong University, CN
Best Paper Award Nominations
D Track
Perspector: Benchmarking Benchmark Suites
Sandeep Kumar1; Abhisek Panda2; Smruti R. Sarangi1
1IIT Delhi, IN; 2Indian Institute of Technology, IN
A Speed- and Energy-Driven Holistic Training Framework for Sparse CNN Accelerators
Yuanchen Qu; Yu Ma; Pingqiang Zhou
Shanghaitech University
GraphIte: Accelerating Iterative Graph Algorithms on ReRAM Architectures via Approximate Computing
Dwaipayan Choudhury; Ananth Kalyanaraman; Partha Pratim Pande
Washington State University
Narrowing The Synthesis Gap: Academic FPGA Synthesis Is Catching Up With The Industry
Benjamin Barze1; Arya Reais-Parsi1; Eddie Hung2; Minwoo Kang1; Alan Mishchenko1; Jonathan W. Greene1; John Wawrzynek1
1UC Berkeley, US; 2FPG-eh Research and University of British Columbia
Computing Effective Resistances on Large Graphs Based on Approximate Inverse of Cholesky Factor
Zhiqiang Liu; Wenjian Yu
Tsinghua University
Fanout-Bounded Logic Synthesis for Emerging Technologies - A Top-Down Approach
Dewmini Marakkalage; Giovanni De Micheli
Ecole Polytechnique Fdrale de Lausanne (EPFL)
Hardware Efficient Weight-Binarized Spiking Neural Networks
Chengcheng; Jie Han
University of Alberta
Hierarchical Non-Structured Pruning for Computing-In-Memory Accelerators with Reduced ADC Resolution Requirement
Wenlu Xue; Jinyu Bai; Sifan Sun; Wang Kang
Beihang University
PIC-RAM: Process-Invariant Capacitive Multiplier Based Analog In Memory Computing in 6T SRAM
Kailash Prasad; Aditya Biswas; Arpita Kabra; Joycee Mekie
Indian Institute of Technology Gandhinagar
Benchmarking Large Language Models for Automated Verilog RTL Code Generation
Shailja Thakur1; Baleegh Ahmad1; Zhenxing Fan1; Hammond Pearce1; Benjamin Tan2; Ramesh Karri1; Brendan Dolan-Gavitt1; Siddharth Garg1
1New York University; 2University of Calgary
Processor Verification using Symbolic Execution: A RISC-V Case Study
Niklas Bruns1; Vladimir Herdt2; Rolf Drechsler1,2
1University of Bremen, 2DFKI
Synthesis with Explicit Dependencies
Priyanka Golia1,2; Subhajit Roy1; Kuldeep S Meel2
1IIT Kanpur, 2National University of Singapore
Minimizing Communication Conflicts in Network-On-Chip based Processing-In-Memory Architecture
Hanbo Sun; Tongxin Xie; Zhenhua Zhu; Guohao Dai; Huazhong Yang; Yu Wang
Tsinghua University
Accelerating Gustavson-based SpMM on Embedded FPGAs with Element-wise Parallelism and Access Pattern-aware Caches
Shiqing Li; Weichen Liu
Nanyang Technological University
PEDAL: A Power Efficient GCN Accelerator with Multiple DAtafLows
Yuhan Chen; Alireza Khadem; Xin He; Nishil Talati; Tanvir Ahmed Khan; Trevor Mudge
University of Michigan
SAGERoute: Synergistic Analog Routing Considering Geometric and Electrical Constraints with Manual Design Compatibility
Haoyi Zhang; Xiaohan Gao; Haoyang Luo; Jiahao Song; Xiyuan Tang; Junhua Liu; Yibo Lin; Runsheng Wang; Ru Huang
Peking University
Non-Profiled Side-Channel Assisted Fault Attack: A Case Study on DOMREP
Sayandeep Saha; Prasanna Ravi; Dirmanto Jap; Shivam Bhasin
Nanyang Technological University, Singapore
Efficient Software Masking of AES through Instruction Set Extensions
Songqiao Cui; Josep Balasch
KU Leuven
Hardware Trojans in eNVM Neuromorphic Devices
Lingxi Wu; Rahul Sreekumar; Rasool Sharifi; Kevin Skadron; Stan Mircea; Ashish Venkat
University of Virginia
SoCFuzzer: SoC Vulnerability Detection using Cost Function enabled Fuzz Testing
Muhammad Monir Hossain; Arash Vafaei; Kimia Zamiri Azar; Fahim Rahman; Farimah Farahmandi; Mark Tehranipoor
University of Florida
A Track
Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints
Ourania Spantidi; Iraklis Anagnostopoulos
Southern Illinois University Carbondale
Efficient Parallelization of 5G-PUSCH on a Scalable RISC-V Manycore Processor
Marco Bertuletti1; Yichao Zhang1; Alessandro Vanelli-Coralli1,2; Luca Benini1,2
1ETH Zurich; 2Universita di Bologna
EvoLUTe: Evaluation of Look-Up-Table-based Fine-Grained IP Redaction
Rui Guo; Mohammad Rahman; Hadi Mardani Kamali; Fahim Rahman; Farimah Farahmandi;
Mark Tehranipoor University of Florida
RTLock: IP Protection using Scan-Aware Logic Locking at RTL
Md Rafid Muttaki; Shuvagata Saha; Hadi Mardani Kamali; Fahim Rahman; Mark Tehranipoor;
Farimah Farahmandi
University of Florida
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation
Amro Eldebiky1; Grace Li Zhang2; Georg Bocherer3; Bing Li1; Ulf Schlichtmann1
1Technical University of Munich; 2TU Darmstadt; 3Huawei Munich Research Center
T Track
Device-Aware Test for Back-Hopping Defects in STT-MRAMs
Sicong Yuan1; Mottaqiallah Taouil1; Moritz Fieback1; Hanzhi Xun1; Erik Jan Marinissen2; Gouri Kar2; Siddharth Rao2; Sebastien Couet2; Said Hamdioui1
1Delft University of Technology; 2IMEC
Assessing Convolutional Neural Networks Reliability through Statistical Fault Injections
Annachiara Ruospo1; Gabrile Gavarini1; Corrado De Sio1; Juan Guerrero Balaguera1; Luca Sterpone1; Matteo Sonza Reorda1; Ernesto Sanchez1; Riccardo Mariani2; Joseph Aribido2;
Jyotika Athavale2 1Politecnico di Torino; 2NVIDIA
E Track
Light Flash Write for Efficient Firmware Update on Energyharvesting IoT Devices
Songran Liu1; Mingsong Lv2; Wei Zhang3; Xu Jiang1; Chuancai Gu4; Tao Yang4; Wang Yi5; Nan Guan6
1Northeastern University; 2The Hong Kong Polytechnic University; 3Shandong University; 4Huawei Technologies Company; 5Uppsala University; 6City University of Hong Kong
Ditty: Directory-based Cache Coherence for Multicore Safety-critical Systems
Zhuanhao Wu; Marat Bekmyrza; Nachiket Kapre; Hiren Patel
University of Waterloo
PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation
Zhuoran Song; Heng Lu; Gang Li; Li Jiang; Naifeng Jing; Xiaoyao Liang
Shanghai Jiao Tong University
Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks
Sanket Shukla1; Setareh Rafatirad2; Houman Homayoun2; Sai Manoj Pudukotai Dinakarrao1 1George Mason University; 2University of California Davis
Genetic Algorithm-based Framework for Layer-Fused Scheduling of Multiple DNNs on Multi-core Systems
Sebastian Karl1; Arne Symons2; Nael Fasfous; Marian Verhelst2
1TU Munich; 2KU Leuven; 3BMW AG
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling
Halima Bouzidi1; Mohanad Odema2; Hamza Ouarnoughi3; Mohammad Al Faruque2; Smail Niar3
1Univ. Polytechnique Hauts-de-France, LAMIH; 2University of California Irvine; 3INSA Hautsde-France
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