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Performance Analysis of Deep Learning Workloads on Leading-edge Systems
v1v2 (latest)

Performance Analysis of Deep Learning Workloads on Leading-edge Systems

International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), 2019
21 May 2019
Zhongjing Jiang
Shinjae Yoo
A. Hoisie
    ELM
ArXiv (abs)PDFHTML

Papers citing "Performance Analysis of Deep Learning Workloads on Leading-edge Systems"

4 / 4 papers shown
Hierarchical ML Codebook Design for Extreme MIMO Beam Management
Hierarchical ML Codebook Design for Extreme MIMO Beam ManagementIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2023
Ryan M. Dreifuerst
Robert W. Heath
147
12
0
24 Nov 2023
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep
  Learning Training
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training
D. Kadiyala
Saeed Rashidi
Taekyung Heo
Abhimanyu Bambhaniya
T. Krishna
Alexandros Daglis
VLM
181
11
0
30 Nov 2022
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning
  Preprocessing Pipelines
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines
Alexander Isenko
R. Mayer
Jeffrey Jedele
Hans-Arno Jacobsen
325
28
0
17 Feb 2022
Time-Based Roofline for Deep Learning Performance Analysis
Time-Based Roofline for Deep Learning Performance AnalysisDynamic Languages Symposium (DLS), 2020
Yunsong Wang
Charlene Yang
Jordan Dudley
Yan Zhang
Thorsten Kurth
Samuel Williams
248
20
0
09 Sep 2020
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