Fathom: Reference Workloads for Modern Deep Learning Methods

23 August 2016

David Brooks

Papers citing "Fathom: Reference Workloads for Modern Deep Learning Methods"

28 / 28 papers shown

Title
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey Noah Lewis J. L. Bez Suren Byna 57 0 0 16 Apr 2024
Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision Ahmed F. AbouElhamayed Susanne Balle Deshanand Singh Mohamed S. Abdelfattah 3DH 32 0 0 02 Mar 2024
TorchBench: Benchmarking PyTorch with High API Surface Coverage Yueming Hao Xu Zhao Bin Bao David Berard William Constable Adnan Aziz Xu Liu 35 5 0 27 Apr 2023
Hierarchical Training of Deep Neural Networks Using Early Exiting Yamin Sepehri P. Pad A. C. Yüzügüler P. Frossard L. A. Dunbar 36 7 0 04 Mar 2023
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs Huaizheng Zhang Yuanming Li Wencong Xiao Yizheng Huang Xing Di Jianxiong Yin Simon See Yong Luo C. Lau Yang You VLM 31 3 0 01 Jan 2023
Benchmarking of DL Libraries and Models on Mobile Devices Qiyang Zhang Xiang Li Xiangying Che Xiao Ma Ao Zhou Mengwei Xu Shangguang Wang Yun Ma Xuanzhe Liu 25 48 0 14 Feb 2022
Benchmarking Resource Usage for Efficient Distributed Deep Learning Nathan C. Frey Baolin Li Joseph McDonald Dan Zhao Michael Jones David Bestor Devesh Tiwari V. Gadepally S. Samsi 35 9 0 28 Jan 2022
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems S. Farrell M. Emani J. Balma L. Drescher Aleksandr Drozd ... Akihiro Tabuchi V. Vishwanath M. Wahib Masafumi Yamazaki Junqi Yin VLM 32 35 0 21 Oct 2021
A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications Eren Kurshan H. Li Mingoo Seok Yuan Xie 34 4 0 02 Mar 2021
A Runtime-Based Computational Performance Predictor for Deep Neural Network Training Geoffrey X. Yu Yubo Gao P. Golikov Gennady Pekhimenko 3DH 28 67 0 31 Jan 2021
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
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices Chunjie Luo Xiwen He Jianfeng Zhan Lei Wang Wanling Gao Jiahui Dai ELM 27 58 0 07 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
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
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended) Cheng-rong Li Abdul Dakkak Jinjun Xiong Wen-mei W. Hwu 24 0 0 18 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
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 28 141 0 02 Nov 2019
Characterizing Deep Learning Training Workloads on Alibaba-PAI Mengdi Wang Chen Meng Guoping Long Chuan Wu Jun Yang Wei Lin Yangqing Jia 22 53 0 14 Oct 2019
MLPerf Training Benchmark Arya D. McCarthy Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius ... Carole-Jean Wu Lingjie Xu Masafumi Yamazaki C. Young Matei A. Zaharia 33 305 0 02 Oct 2019
XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs Cheng-rong Li Abdul Dakkak Jinjun Xiong Wei Wei Lingjie Xu Wen-mei W. Hwu 13 16 0 19 Aug 2019
A Workload and Programming Ease Driven Perspective of Processing-in-Memory Saugata Ghose Amirali Boroumand Jeremie S. Kim Juan Gómez Luna O. Mutlu 36 10 0 26 Jul 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
DeepOBS: A Deep Learning Optimizer Benchmark Suite Frank Schneider Lukas Balles Philipp Hennig ODL 28 71 0 13 Mar 2019
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads Wanling Gao Jianfeng Zhan Lei Wang Chunjie Luo Zhen Jia ... Chen Zheng Xiwen He Hainan Ye Haibin Wang Rui Ren 13 13 0 18 Oct 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark Cody Coleman Daniel Kang Deepak Narayanan Luigi Nardi Tian Zhao Jian Zhang Peter Bailis K. Olukotun Christopher Ré Matei A. Zaharia 13 117 0 04 Jun 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 25 80 0 16 Mar 2018
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 33 4,596 0 16 Apr 2017