Title
Distributed Deep Reinforcement Learning: An Overview Mohammad Reza Samsami Hossein Alimadad OffRL 14 27 0 22 Nov 2020
FPGA deep learning acceleration based on convolutional neural network Xiong Jun 14 2 0 17 Nov 2020
Customizing Trusted AI Accelerators for Efficient Privacy-Preserving Machine Learning Peichen Xie Xuanle Ren Guangyu Sun FedML 14 6 0 12 Nov 2020
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator Zihan Liu Jingwen Leng Quan Chen Chao Li Wenli Zheng Li-Wei Li Minyi Guo 9 8 0 11 Nov 2020
ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing Cheng Tan Chenhao Xie Tong Geng Andres Marquez Antonino Tumeo Kevin J. Barker Ang Li 15 13 0 10 Nov 2020
Exploring the limits of Concurrency in ML Training on Google TPUs Sameer Kumar James Bradbury C. Young Yu Emma Wang Anselm Levskaya ... Tao Wang Tayo Oguntebi Yazhou Zu Yuanzhong Xu Andy Swing BDL AIMat MoE LRM 25 27 0 07 Nov 2020
Highly Available Data Parallel ML training on Mesh Networks Sameer Kumar N. Jouppi MoE AI4CE 6 9 0 06 Nov 2020
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers Linghao Song Fan Chen Xuehai Qian Hai Li Yiran Chen 6 4 0 06 Nov 2020
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery Kiwan Maeng Shivam Bharuka Isabel Gao M. C. Jeffrey V. Saraph ... Caroline Trippel Jiyan Yang Michael G. Rabbat Brandon Lucia Carole-Jean Wu OffRL 37 31 0 05 Nov 2020
InferBench: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System Huaizheng Zhang Yizheng Huang Yonggang Wen Jianxiong Yin K. Guan 22 3 0 04 Nov 2020
Cortex: A Compiler for Recursive Deep Learning Models Pratik Fegade Tianqi Chen Phillip B. Gibbons T. Mowry VLM 16 28 0 02 Nov 2020
Photonics for artificial intelligence and neuromorphic computing B. Shastri A. Tait T. F. D. Lima W. Pernice H. Bhaskaran C. Wright Paul R. Prucnal 25 1,178 0 30 Oct 2020
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour Arissa Wongpanich Hieu H. Pham J. Demmel Mingxing Tan Quoc V. Le Yang You Sameer Kumar 19 8 0 30 Oct 2020
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework Dhruv Guliani F. Beaufays Giovanni Motta FedML 13 80 0 29 Oct 2020
Systolic Computing on GPUs for Productive Performance Hongbo Rong Xiaochen Hao Yun Liang Lidong Xu Hong Jiang Pradeep Dubey 14 1 0 29 Oct 2020
Cascaded encoders for unifying streaming and non-streaming ASR A. Narayanan Tara N. Sainath Ruoming Pang Jiahui Yu Chung-Cheng Chiu Rohit Prabhavalkar Ehsan Variani Trevor Strohman AuLLM 8 85 0 27 Oct 2020
Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws? Jens Domke Emil Vatai Aleksandr Drozd Peng Chen Yosuke Oyama ... Shweta Salaria Daichi Mukunoki Artur Podobas Mohamed Wahib Satoshi Matsuoka 40 24 0 27 Oct 2020
Stochastic Optimization with Laggard Data Pipelines Naman Agarwal Rohan Anil Tomer Koren Kunal Talwar Cyril Zhang 21 12 0 26 Oct 2020
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping Minjia Zhang Yuxiong He AI4CE 13 100 0 26 Oct 2020
LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference Yujeong Choi Yunseong Kim Minsoo Rhu 24 66 0 25 Oct 2020
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training Youngeun Kwon Yunjae Lee Minsoo Rhu 27 40 0 25 Oct 2020
R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving Won-Seok Jang Hansaem Jeong Kyungtae Kang N. Dutt Jong-Chan Kim 13 24 0 23 Oct 2020
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 38 89 0 22 Oct 2020
Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters Shaoshuai Shi Xianhao Zhou Shutao Song Xingyao Wang Zilin Zhu ... Chenyang Guo Bo Yang Zhibo Chen Yongjian Wu Xiaowen Chu GNN 23 55 0 20 Oct 2020
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search Yunjiang Jiang Yue Shang Ziyang Liu Hongwei Shen Yun Xiao Wei Xiong Sulong Xu Weipeng P. Yan Di Jin 34 17 0 20 Oct 2020
Composite Enclaves: Towards Disaggregated Trusted Execution Moritz Schneider Aritra Dhar Ivan Puddu Kari Kostiainen Srdjan Capkun 18 16 0 20 Oct 2020
Revisiting BFloat16 Training Pedram Zamirai Jian Zhang Christopher R. Aberger Christopher De Sa FedML MQ 29 20 0 13 Oct 2020
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions Wenqi Jiang Zhen He Shuai Zhang Thomas B. Preußer Kai Zeng ... Tongxuan Liu Yong Li Jingren Zhou Ce Zhang Gustavo Alonso 42 7 0 12 Oct 2020
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware Alberto Marchisio Vojtěch Mrázek Muhammad Abdullah Hanif Mohamed Bennai 11 12 0 12 Oct 2020
Cross-Stack Workload Characterization of Deep Recommendation Systems Samuel Hsia Udit Gupta Mark Wilkening Carole-Jean Wu Gu-Yeon Wei David Brooks BDL GNN HAI 28 32 0 10 Oct 2020
A Tensor Compiler for Unified Machine Learning Prediction Serving Supun Nakandala Karla Saur Karla Saur Gyeong-In Yu Konstantinos Karanasos Carlo Curino Markus Weimer Matteo Interlandi 37 53 0 09 Oct 2020
A Novel ANN Structure for Image Recognition Shilpa Mayannavar U. Wali V. M. Aparanji 8 3 0 09 Oct 2020
Transformer Transducer: One Model Unifying Streaming and Non-streaming Speech Recognition Anshuman Tripathi Jaeyoung Kim Qian Zhang Han Lu Hasim Sak 9 42 0 07 Oct 2020
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications Matthew Khoury Rumen Dangovski L. Ou Preslav Nakov Yichen Shen L. Jing 31 0 0 06 Oct 2020
Learned Hardware/Software Co-Design of Neural Accelerators Zhan Shi Chirag Sakhuja Milad Hashemi Kevin Swersky Calvin Lin 19 15 0 05 Oct 2020
Local Label Point Correction for Edge Detection of Overlapping Cervical Cells Jiawei Liu Huijie Fan Qiang Wang Wentao Li Yandong Tang Danbo Wang Mingyi Zhou Li Chen 18 9 0 05 Oct 2020
Neighbourhood Distillation: On the benefits of non end-to-end distillation Laetitia Shao Max Moroz Elad Eban Yair Movshovitz-Attias ODL 18 0 0 02 Oct 2020
EigenGame: PCA as a Nash Equilibrium I. Gemp Brian McWilliams Claire Vernade T. Graepel 32 46 0 01 Oct 2020
A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems F. Rizzi E. Parish P. Blonigan John Tencer 9 1 0 24 Sep 2020
Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training Dingqing Yang Amin Ghasemazar X. Ren Maximilian Golub G. Lemieux Mieszko Lis 22 48 0 23 Sep 2020
E-BATCH: Energy-Efficient and High-Throughput RNN Batching Franyell Silfa J. Arnau Antonio González 30 11 0 22 Sep 2020
DeepDyve: Dynamic Verification for Deep Neural Networks Yu Li Min Li Bo Luo Ye Tian Qiang Xu AAML 16 30 0 21 Sep 2020
GrateTile: Efficient Sparse Tensor Tiling for CNN Processing Yu-Sheng Lin Hung Chang Lu Yang-Bin Tsao Yi-Min Chih Wei-Chao Chen Shao-Yi Chien 4 5 0 18 Sep 2020
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics Li Li Stephan Hoyer Ryan Pederson Ruoxi Sun E. D. Cubuk Patrick F. Riley K. Burke AI4CE 37 120 0 17 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
Large-Scale Intelligent Microservices Mark Hamilton Nick Gonsalves Christina Lee Anand Raman Brendan Walsh ... Dalitso Banda Lucy Zhang Mei Gao Lei Zhang William T. Freeman SyDa AI4TS 11 5 0 17 Sep 2020
The Hardware Lottery Sara Hooker 29 204 0 14 Sep 2020
DANCE: Differentiable Accelerator/Network Co-Exploration Kanghyun Choi Deokki Hong Hojae Yoon Joonsang Yu Youngsok Kim Jinho Lee 25 45 0 14 Sep 2020
Time-Based Roofline for Deep Learning Performance Analysis Yunsong Wang Charlene Yang S. Farrell Yan Zhang Thorsten Kurth Samuel Williams 27 17 0 09 Sep 2020
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution Seung-Jun Han Akash Srivastava C. Hurwitz P. Sattigeri David D. Cox 14 8 0 09 Sep 2020