Title
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators Dan Zhang Safeen Huda Ebrahim M. Songhori Kartik Prabhu Quoc V. Le Anna Goldie Azalia Mirhoseini 34 51 0 26 May 2021
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale Zhaoxia Deng Deng Jongsoo Park P. T. P. Tang Haixin Liu ... S. Nadathur Changkyu Kim Maxim Naumov S. Naghshineh M. Smelyanskiy 29 11 0 26 May 2021
FENXI: Deep-learning Traffic Analytics at the Edge Massimo Gallo A. Finamore G. Simon Dario Rossi 14 7 0 25 May 2021
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching Sudipta Mondal Susmita Dey Manasi K. Kunal S. Ramprasath S. Sapatnekar GNN 6 15 0 21 May 2021
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance Udit Gupta Samuel Hsia J. Zhang Mark Wilkening Javin Pombra Hsien-Hsin S. Lee Gu-Yeon Wei Carole-Jean Wu David Brooks 41 32 0 18 May 2021
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning Lingda Li Santosh Pandey T. Flynn Hang Liu Noel Wheeler A. Hoisie 32 7 0 12 May 2021
PIM-DRAM: Accelerating Machine Learning Workloads using Processing in Commodity DRAM Sourjya Roy M. Ali A. Raghunathan 19 19 0 08 May 2021
Neural network architectures using min-plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs Jérome Darbon P. Dower Tingwei Meng 19 22 0 07 May 2021
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators Qijing Huang Minwoo Kang Grace Dinh Thomas Norell Aravind Kalaiah J. Demmel J. Wawrzynek Y. Shao 23 108 0 05 May 2021
Modulating Regularization Frequency for Efficient Compression-Aware Model Training Dongsoo Lee S. Kwon Byeongwook Kim Jeongin Yun Baeseong Park Yongkweon Jeon 27 0 0 05 May 2021
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation Qingcheng Xiao Wenlei Bao Bingzhe Wu Pengcheng Xu Xuehai Qian Yun Liang 45 67 0 04 May 2021
Connecting AI Learning and Blockchain Mining in 6G Systems Yunkai Wei Zixian An S. Leng Kun Yang 15 1 0 29 Apr 2021
MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores Sheng-Chun Kao T. Krishna 24 51 0 28 Apr 2021
An optical neural network using less than 1 photon per multiplication Tianyu Wang Shifan Ma Logan G. Wright Tatsuhiro Onodera Brian C. Richard Peter L. McMahon 55 177 0 27 Apr 2021
Efficient training of physics-informed neural networks via importance sampling M. A. Nabian R. J. Gladstone Hadi Meidani DiffM PINN 75 225 0 26 Apr 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML Lennart Heim Andreas Biri Zhongnan Qu Lothar Thiele 56 30 0 21 Apr 2021
VideoGPT: Video Generation using VQ-VAE and Transformers Wilson Yan Yunzhi Zhang Pieter Abbeel A. Srinivas ViT VGen 245 487 0 20 Apr 2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device Mario Almeida Stefanos Laskaridis Stylianos I. Venieris Ilias Leontiadis Nicholas D. Lane 24 36 0 20 Apr 2021
CoDR: Computation and Data Reuse Aware CNN Accelerator Alireza Khadem Haojie Ye T. Mudge 6 0 0 20 Apr 2021
End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data Michael Andrews Bjorn Burkle Yi-fan Chen Davide DiCroce S. Gleyzer ... N. Pervan Yusef Shafi Wei-Ju Sun Emanuele Usai Kun Yang 23 10 0 19 Apr 2021
Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs J. Kosaian K. V. Rashmi 38 33 0 19 Apr 2021
Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors Lukas Baischer M. Wess N. Taherinejad 28 12 0 19 Apr 2021
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging Chao-Tsung Huang 45 10 0 19 Apr 2021
Demystifying BERT: Implications for Accelerator Design Suchita Pati Shaizeen Aga Nuwan Jayasena Matthew D. Sinclair LLMAG 40 17 0 14 Apr 2021
Mitigating Adversarial Attack for Compute-in-Memory Accelerator Utilizing On-chip Finetune Shanshi Huang Hongwu Jiang Shimeng Yu AAML 26 3 0 13 Apr 2021
Podracer architectures for scalable Reinforcement Learning Matteo Hessel M. Kroiss Aidan Clark Iurii Kemaev John Quan Thomas Keck Fabio Viola H. V. Hasselt 24 38 0 13 Apr 2021
Optimizing the Whole-life Cost in End-to-end CNN Acceleration Jiaqi Zhang Xiangru Chen S. Ray 8 8 0 12 Apr 2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications Lixuan Yang A. Finamore Feng Jun Dario Rossi 22 46 0 07 Apr 2021
A matrix math facility for Power ISA(TM) processors José Moreira Kit Barton Steven J. Battle Peter Bergner Ramon Bertran Monfort ... Rajalakshmi Srinivasaraghavan Shricharan Srivatsan Brian W. Thompto Andreas Wagner Nelson Wu 6 14 0 07 Apr 2021
GPU Domain Specialization via Composable On-Package Architecture Yaosheng Fu Evgeny Bolotin Niladrish Chatterjee D. Nellans S. Keckler 22 12 0 05 Apr 2021
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation Xizi Chen Jingyang Zhu Jingbo Jiang Chi-Ying Tsui 21 12 0 03 Apr 2021
Exploring Edge TPU for Network Intrusion Detection in IoT Seyedehfaezeh Hosseininoorbin S. Layeghy Mohanad Sarhan Raja Jurdak Marius Portmann 14 22 0 30 Mar 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields Jonathan T. Barron B. Mildenhall Matthew Tancik Peter Hedman Ricardo Martín Brualla Pratul P. Srinivasan 16 1,917 0 24 Mar 2021
FastMoE: A Fast Mixture-of-Expert Training System Jiaao He J. Qiu Aohan Zeng Zhilin Yang Jidong Zhai Jie Tang ALM MoE 45 94 0 24 Mar 2021
Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units Zhixin Pan Prabhat Mishra 35 18 0 22 Mar 2021
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats Eric Qin Geonhwa Jeong William Won Sheng-Chun Kao Hyoukjun Kwon Sudarshan Srinivasan Dipankar Das G. Moon S. Rajamanickam T. Krishna 35 18 0 18 Mar 2021
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators Raveesh Garg Eric Qin Francisco Munoz-Martínez Robert Guirado Akshay Jain ... José L. Abellán M. Acacio Eduard Alarcón S. Rajamanickam T. Krishna GNN 14 18 0 14 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Nayeon Lee Jonathon Shlens Barret Zoph 36 298 0 13 Mar 2021
The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers? Stefano Markidis PINN 48 184 0 12 Mar 2021
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking X. Ju D. Murnane P. Calafiura Nicholas Choma S. Conlon ... Aditi Chauhan A. Schuy Shih-Chieh Hsu A. Ballow A. Lazar 29 62 0 11 Mar 2021
Proof-of-Learning: Definitions and Practice Hengrui Jia Mohammad Yaghini Christopher A. Choquette-Choo Natalie Dullerud Anvith Thudi Varun Chandrasekaran Nicolas Papernot AAML 25 99 0 09 Mar 2021
F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding Xiaofan Zhang Dawei Wang P. Chuang Shugao Ma Deming Chen Yuecheng Li VGen 14 10 0 08 Mar 2021
Reliability-Aware Quantization for Anti-Aging NPUs Sami Salamin Georgios Zervakis Ourania Spantidi Iraklis Anagnostopoulos J. Henkel H. Amrouch 19 13 0 08 Mar 2021
ShEF: Shielded Enclaves for Cloud FPGAs Mark Zhao Mingyu Gao Christos Kozyrakis 41 55 0 05 Mar 2021
BM3D vs 2-Layer ONN Junaid Malik S. Kiranyaz Mehmet Yamaç Moncef Gabbouj 31 11 0 04 Mar 2021
Sparse Training Theory for Scalable and Efficient Agents Decebal Constantin Mocanu Elena Mocanu T. Pinto Selima Curci Phuong H. Nguyen M. Gibescu D. Ernst Z. Vale 47 17 0 02 Mar 2021
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search Kartik Hegde Po-An Tsai Sitao Huang Vikas Chandra A. Parashar Christopher W. Fletcher 26 93 0 02 Mar 2021
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models Amirali Boroumand Saugata Ghose Berkin Akin Ravi Narayanaswami Geraldo F. Oliveira Xiaoyu Ma Eric Shiu O. Mutlu 27 29 0 01 Mar 2021
Accelerating Recommendation System Training by Leveraging Popular Choices Muhammad Adnan Yassaman Ebrahimzadeh Maboud Divyat Mahajan Prashant J. Nair 30 56 0 01 Mar 2021
On the Utility of Gradient Compression in Distributed Training Systems Saurabh Agarwal Hongyi Wang Shivaram Venkataraman Dimitris Papailiopoulos 41 46 0 28 Feb 2021