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Fathom: Reference Workloads for Modern Deep Learning Methods

Fathom: Reference Workloads for Modern Deep Learning Methods

23 August 2016
Robert Adolf
Saketh Rama
Brandon Reagen
Gu-Yeon Wei
David Brooks
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Papers citing "Fathom: Reference Workloads for Modern Deep Learning Methods"

26 / 26 papers shown
Title
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
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
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
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
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
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
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
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
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
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
AIPerf: Automated machine learning as an AI-HPC benchmark
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
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
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
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
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)
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)
Cheng-rong Li
Abdul Dakkak
Jinjun Xiong
Wen-mei W. Hwu
22
0
0
18 Nov 2019
MLPerf Inference Benchmark
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
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
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
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
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
11
16
0
19 Aug 2019
A Workload and Programming Ease Driven Perspective of
  Processing-in-Memory
A Workload and Programming Ease Driven Perspective of Processing-in-Memory
Saugata Ghose
Amirali Boroumand
Jeremie S. Kim
Juan Gómez Luna
O. Mutlu
34
10
0
26 Jul 2019
The Architectural Implications of Facebook's DNN-based Personalized
  Recommendation
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
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads
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
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
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
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
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