A Modular Benchmarking Infrastructure for High-Performance and
Reproducible Deep Learning

A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning

29 January 2019

Torsten Hoefler

Papers citing "A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning"

17 / 17 papers shown

Title
Low-Depth Spatial Tree Algorithms Yves Baumann Tal Ben-Nun Maciej Besta Lukas Gianinazzi Torsten Hoefler Piotr Luczynski 42 0 0 19 Apr 2024
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
The spatial computer: A model for energy-efficient parallel computation Lukas Gianinazzi Tal Ben-Nun Maciej Besta Saleh Ashkboos Yves Baumann Piotr Luczynski Torsten Hoefler 18 5 0 10 May 2022
Scientific Machine Learning Benchmarks Jeyan Thiyagalingam Mallikarjun Shankar Geoffrey C. Fox Tony (Anthony) John Grenville Hey 14 108 0 25 Oct 2021
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
Quantifying and Improving Performance of Distributed Deep Learning with Cloud Storage Nicholas Krichevsky M. S. Louis Tian Guo 25 9 0 13 Aug 2021
Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs G. Fursin 14 7 0 02 Nov 2020
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality Maciej Besta Armon Carigiet Zur Vonarburg-Shmaria Kacper Janda Lukas Gianinazzi Torsten Hoefler 20 26 0 26 Aug 2020
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 19 22 0 17 Aug 2020
The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps G. Fursin VLM 9 11 0 12 Jun 2020
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems Maciej Besta Marc Fischer Vasiliki Kalavri Michael Kapralov Torsten Hoefler GNN 26 55 0 29 Dec 2019
Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons Maciej Besta Raghavendra Kanakagiri Harun Mustafa Mikhail Karasikov Gunnar Rätsch Torsten Hoefler Edgar Solomonik 18 65 0 11 Nov 2019
Machine Learning and Big Scientific Data Tony (Anthony) John Grenville Hey K. Butler Sam Jackson Jeyarajan Thiyagalingam AI4CE 28 74 0 12 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 31 305 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 11 16 0 19 Aug 2019
Graph Processing on FPGAs: Taxonomy, Survey, Challenges Maciej Besta Dimitri Stanojevic Johannes de Fine Licht Tal Ben-Nun Torsten Hoefler GNN AI4CE 27 52 0 25 Feb 2019
TensorLayer: A Versatile Library for Efficient Deep Learning Development Hao Dong A. Supratak Luo Mai Fangde Liu A. Oehmichen Simiao Yu Yike Guo 53 114 0 26 Jul 2017