Title
AIPerf: Automated machine learning as an AI-HPC benchmark Zhixiang Ren Yongheng Liu Tianhui Shi Lei Xie Yue Zhou Jidong Zhai Youhui Zhang Yunquan Zhang Wenguang Chen 27 22 0 17 Aug 2020
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training Geoffrey X. Yu Tovi Grossman Gennady Pekhimenko 24 17 0 15 Aug 2020
Multi-node Bert-pretraining: Cost-efficient Approach Jiahuang Lin Xuelong Li Gennady Pekhimenko 17 13 0 01 Aug 2020
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics Daniel Kang A. Mathur Teja Veeramacheneni Peter Bailis Matei A. Zaharia 16 42 0 25 Jul 2020
Distributed Training of Deep Learning Models: A Taxonomic Perspective M. Langer Zhen He W. Rahayu Yanbo Xue 30 76 0 08 Jul 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 18 53 0 14 Jun 2020
Hindsight Logging for Model Training Rolando Garcia Eric Liu Vikram Sreekanti Bobby Yan Anusha Dandamudi Joseph E. Gonzalez J. M. Hellerstein Koushik Sen VLM 27 10 0 12 Jun 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey Wiebke Toussaint Aaron Yi Ding LRM 30 0 0 29 May 2020
Neural Collaborative Filtering vs. Matrix Factorization Revisited Steffen Rendle Walid Krichene Li Zhang John R. Anderson 8 415 0 19 May 2020
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures Dhiraj D. Kalamkar E. Georganas Sudarshan Srinivasan Jianping Chen Mikhail Shiryaev A. Heinecke 56 48 0 10 May 2020
AIBench Scenario: Scenario-distilling AI Benchmarking Wanling Gao Fei Tang Jianfeng Zhan Xu Wen Lei Wang Zheng Cao Chuanxin Lan Chunjie Luo Xiaoli Liu Zihan Jiang 29 14 0 06 May 2020
AIBench Training: Balanced Industry-Standard AI Training Benchmarking Fei Tang Wanling Gao Jianfeng Zhan Chuanxin Lan Xu Wen ... Yatao Li Junchao Shao Zhenyu Wang Xiaoyu Wang Hainan Ye 30 3 0 30 Apr 2020
GEVO: GPU Code Optimization using Evolutionary Computation Jhe-Yu Liou Xiaodong Wang Stephanie Forrest Carole-Jean Wu 30 2 0 17 Apr 2020
Developing a Recommendation Benchmark for MLPerf Training and Inference Carole-Jean Wu Robin Burke Ed H. Chi Joseph Konstan Julian McAuley Yves Raimond Hao Zhang VLM 16 29 0 16 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 235 383 0 05 Mar 2020
DLSpec: A Deep Learning Task Exchange Specification Abdul Dakkak Cheng-rong Li Jinjun Xiong Wen-mei W. Hwu 16 2 0 26 Feb 2020
AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite Wanling Gao Fei Tang Jianfeng Zhan Chuanxin Lan Chunjie Luo ... Gang Lu Junchao Shao Zhenyu Wang Xiaoyu Wang Hainan Ye 27 1 0 17 Feb 2020
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing Xiyou Zhou Zhiyu Zoey Chen Xiaoyong Jin Wei Wang 22 32 0 14 Feb 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation Byung Hoon Ahn Prannoy Pilligundla Amir Yazdanbakhsh H. Esmaeilzadeh ODL 61 80 0 23 Jan 2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference Udit Gupta Samuel Hsia V. Saraph Xiaodong Wang Brandon Reagen Gu-Yeon Wei Hsien-Hsin S. Lee David Brooks Carole-Jean Wu GNN 36 188 0 08 Jan 2020
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing Liu Ke Udit Gupta Carole-Jean Wu B. Cho Mark Hempstead ... Dheevatsa Mudigere Maxim Naumov Martin D. Schatz M. Smelyanskiy Xiaodong Wang 49 216 0 30 Dec 2019
BenchCouncil's View on Benchmarking AI and Other Emerging Workloads Jianfeng Zhan Lei Wang Wanling Gao Rui Ren 22 11 0 02 Dec 2019
The Pitfall of Evaluating Performance on Emerging AI Accelerators Zihan Jiang Jiansong Li Jiangfeng Zhan 19 2 0 08 Nov 2019
MLPerf Inference Benchmark Vijayarāghava Reḍḍī C. Cheng David Kanter Pete H Mattson Guenther Schmuelling ... Bing Yu George Y. Yuan Aaron Zhong P. Zhang Yuchen Zhou 31 487 0 06 Nov 2019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen ... Andrey Malevich Dheevatsa Mudigere M. Smelyanskiy Liang Xiong Xuan Zhang GNN 44 290 0 06 Jun 2019
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training Bojian Zheng Abhishek Tiwari Nandita Vijaykumar Gennady Pekhimenko 27 44 0 22 May 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,748 0 26 Sep 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014