ASAP

Publications

2023

Dimitrios Gourounas, Bagus Hanindhito, Arash Fathi, Dimitar Trenev, Lizy K. John, Andreas Gerstlauer
FAWS: FPGA Acceleration of Large-Scale Wave Simulations. ASAP (2023)
Miaoxiang Yu, Zhenyu Xu, Jillian Cai, Qing Yang, Tao Wei
A Heterogeneous Computer Architecture Accelerating Reinforcement Learning-based Design for Silicon Photonic Devices. ASAP (2023)
Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer
Efficient 1D Grouped Convolution for PyTorch a Case Study: Fast On-Device Fine-Tuning for SqueezeBERT. ASAP (2023)
Ce Guo, Wayne Luk, Alexander Warren, Joshua M. Levine, Peter Brookes
Co-Design of Algorithm and FPGA Accelerator for Conditional Independence Test. ASAP (2023)
Pierre Abillama, Zichen Fan, Yu Chen, Hyochan An, Qirui Zhang, Seungkyu Choi, David T. Blaauw, Dennis Sylvester, Hun-Seok Kim
SONA: An Accelerator for Transform-Domain Neural Networks with Sparse-Orthogonal Weights. ASAP (2023)
Sergio A. Pertuz, Ariel Podlubne, Diana Goehringer
An Efficient Accelerator for Nonlinear Model Predictive Control. ASAP (2023)
Raul Murillo, Alberto A. Del Barrio, Guillermo Botella
A Suite of Division Algorithms for Posit Arithmetic. ASAP (2023)
Joao Mario Domingos, Tiago Rocha, Nuno Neves, Nuno Roma, Pedro Tomás, Leonel Sousa
Supporting RISC-V Performance Counters Through Linux Performance Analysis Tools. ASAP (2023)
Yen-Fu Liu, Chou-Ying Hsieh, Sy-Yen Kuo
Boomerang: Physical-Aware Design Space Exploration Framework on RISC-V SonicBOOM Microarchitecture. ASAP (2023)
Michael Beyer, Sven Gesper, Andre Guntoro, Guillermo Payá Vayá, Holger Blume
Exploiting Subword Permutations to Maximize CNN Compute Performance and Efficiency. ASAP (2023)
34th IEEE International Conference on Application-specific Systems, Architectures and Processors, ASAP 2023, Porto, Portugal, July 19-21, 2023 ASAP (2023)
Mengxi Liu, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vítor Fortes Rey, Paul Lukowicz
FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors. ASAP (2023)
Yoshiki Kunimoto, Qiong Chang, Yoshiki Yamaguchi, Tsutomu Maruyama
GPU Acceleration of Multi-Object Tracking with Motion Vector Interpolation and Affine Transformation. ASAP (2023)
Igor D. S. Miranda, Aman Arora, Zachary Susskind, Josias S. A. Souza, Mugdha P. Jadhao, Luis A. Q. Villon, Diego L. C. Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John
COIN: Combinational Intelligent Networks. ASAP (2023)
Kailash Gogineni, Yongsheng Mei, Tian Lan, Peng Wei, Guru Venkataramani
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization. ASAP (2023)
Taha Shahroodi, Michael Miao, Mahdi Zahedi, Stephan Wong, Said Hamdioui
SieveMem: A Computation-in-Memory Architecture for Fast and Accurate Pre-Alignment. ASAP (2023)
Mathijs De Kremer, Marco Brohet, Subhadeep Banik, Roberto Avanzi, Francesco Regazzoni
Resource-Constrained Encryption: Extending Ibex with a QARMA Hardware Accelerator. ASAP (2023)
Preet Derasari, Kailash Gogineni, Guru Venkataramani
Mayalok: A Cyber-Deception Hardware Using Runtime Instruction Infusion. ASAP (2023)
João M. P. Cardoso, Alexandra Jimborean, Nele Mentens, José Gabriel F. Coutinho
Preface ASAP 2023. ASAP (2023)
Shashwat Khandelwal, Shanker Shreejith
Real-Time Zero-Day Intrusion Detection System for Automotive Controller Area Network on FPGAs. ASAP (2023)
Zhenyu Xu, Miaoxiang Yu, Jillian Cai, Qing Yang, Yeonho Jeong, Tao Wei
A Novel FPGA-Based Circuit Simulator for Accelerating Reinforcement Learning-Based Design of Power Converters. ASAP (2023)
Jiahong Chen, Shengzhe Wang, Zhihao Zhang, Suzhen Wu, Bo Mao
iKnowFirst: An Efficient DPU-Assisted Compaction for LSM-Tree-Based Key-Value Stores. ASAP (2023)
Shijie Jiang, Yi Zou, Hao Wang, Wanwan Li
An FFT Accelerator Using Deeply-coupled RISC-V Instruction Set Extension for Arbitrary Number of Points. ASAP (2023)
Esmerald Aliaj, Alberto Krone-Martins, Joshua Garcia, Sang-Woo Jun
FarSlayer: Turnkey Acceleration of Legacy Software on Commodity FPGA Cards. ASAP (2023)
Maxime Millet, Adrien Cassagne, Nicolas Rambaux, Lionel Lacassagne
Real-Time and Approximate Iterative Optical Flow Implementation on Low-Power Embedded CPUs. ASAP (2023)
Jiyoung An, Esmerald Aliaj, Sang-Woo Jun
PreCog: Near-Storage Accelerator for Heterogeneous CNN Inference. ASAP (2023)
Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
FMM-X3D: FPGA-Based Modeling and Mapping of X3D for Human Action Recognition. ASAP (2023)
Yifan Zhao, Honglin Kuang, Yi Sun, Zhen Yang, Chen Chen, Jianyi Meng, Jun Han
Enhancing RISC-V Vector Extension for Efficient Application of Post-Quantum Cryptography. ASAP (2023)
Zhigang Wei, Aman Arora, Ruihao Li, Lizy K. John
HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis. ASAP (2023)
Yannick Braatz, Dennis Sebastian Rieber, Taha Soliman, Oliver Bringmann
SimPyler: A Compiler-Based Simulation Framework for Machine Learning Accelerators. ASAP (2023)
Maxime Popoff, Romain Michon, Tanguy Risset, Pierre Cochard, Stéphane Letz, Yann Orlarey, Florent de Dinechin
Audio DSP to FPGA Compilation. ASAP (2023)
Jan-Harm L. F. Betting, Dimitrios Liakopoulos, Max C. W. Engelen, Christos Strydis
Oikonomos: An Opportunistic, Deep-Learning, Resource-Recommendation System for Cloud HPC. ASAP (2023)

2022