Title
GPU-centric Communication Schemes for HPC and ML Applications Naveen Namashivayam GNN 77 0 0 31 Mar 2025
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe Christopher Rae Joseph K. L. Lee James Richings Michele Weiland 55 2 0 16 Apr 2024
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey Noah Lewis J. L. Bez Suren Byna 109 0 0 16 Apr 2024
Union: An Automatic Workload Manager for Accelerating Network Simulation Xin Wang Misbah Mubarak Yao Kang R. Ross Z. Lan 31 12 0 25 Mar 2024
Study of Workload Interference with Intelligent Routing on Dragonfly Yao Kang Xin Wang Z. Lan 63 10 0 24 Mar 2024
RINAS: Training with Dataset Shuffling Can Be General and Fast Tianle Zhong Jiechen Zhao Xindi Guo Qiang Su Geoffrey C. Fox 72 4 0 04 Dec 2023
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators M. Emani Sam Foreman Varuni K. Sastry Zhen Xie Siddhisanket Raskar William Arnold R. Thakur V. Vishwanath M. Papka ELM 73 10 0 06 Oct 2023
Evaluating the Potential of Disaggregated Memory Systems for HPC applications Nan Ding Pieter Maris H. Nam Taylor L. Groves M. Awan ... C. Daley Oguz Selvitopi L. Oliker N. Wright Samuel Williams 42 5 0 06 Jun 2023
The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations Inyoung Paik Jaesik Choi 75 1 0 23 Apr 2023
Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning Takaaki Fukai Kento Sato Takahiro Hirofuchi 56 2 0 04 Jan 2023
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems Jiangsu Du Dongsheng Li Yingpeng Wen Jiazhi Jiang Dan Huang Xia Liao Yutong Lu 55 1 0 07 Dec 2022
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition Lizhi Xiang Miao Yin Chengming Zhang Aravind Sukumaran-Rajam P. Sadayappan Bo Yuan Dingwen Tao 3DV 93 8 0 07 Nov 2022
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates Baixi Sun Xiaodong Yu Chengming Zhang Jiannan Tian Sian Jin K. Iskra Tao Zhou Tekin Bicer Pete Beckman Dingwen Tao 53 1 0 01 Nov 2022
HammingMesh: A Network Topology for Large-Scale Deep Learning Torsten Hoefler Tommaso Bonato Daniele De Sensi Salvatore Di Girolamo Shigang Li Marco Heddes Jon Belk Deepak Goel Miguel Castro Steve Scott 3DH GNN AI4CE 76 23 0 03 Sep 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 Mohamed Wahib Masafumi Yamazaki Junqi Yin VLM 78 37 0 21 Oct 2021
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks A. Kahira Truong Thao Nguyen L. Bautista-Gomez Ryousei Takano Rosa M. Badia Mohamed Wahib 57 11 0 19 Apr 2021
Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling Sam Partee M. Ellis Alessandro Rigazzi S. Bachman Gustavo M. Marques Andrew Shao Benjamin Robbins AI4Cl AI4CE 41 19 0 13 Apr 2021
Clairvoyant Prefetching for Distributed Machine Learning I/O Nikoli Dryden Roman Böhringer Tal Ben-Nun Torsten Hoefler 79 58 0 21 Jan 2021
Deep learning insights into cosmological structure formation Luisa Lucie-Smith H. Peiris A. Pontzen Brian D. Nord Jeyan Thiyagalingam 63 6 0 20 Nov 2020
Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws? Jens Domke Emil Vatai Aleksandr Drozd Peng Chen Yosuke Oyama ... Shweta Salaria Daichi Mukunoki Artur Podobas Mohamed Wahib Satoshi Matsuoka 58 25 0 27 Oct 2020
Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks J. Ellis Lenz Fiedler G. Popoola N. Modine J. A. Stephens A. Thompson A. Cangi S. Rajamanickam AI4CE 45 40 0 10 Oct 2020
Quasar Detection using Linear Support Vector Machine with Learning From Mistakes Methodology A. Herle Janamejaya Channegowda Dinakar Prabhu 38 2 0 01 Oct 2020
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation Wenqian Dong Zhen Xie Gokcen Kestor Dong Li 55 47 0 26 Aug 2020
Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA Mohamed Wahib Haoyu Zhang Truong Thao Nguyen Aleksandr Drozd Jens Domke Lingqi Zhang Ryousei Takano Satoshi Matsuoka OODD 78 23 0 26 Aug 2020
A Computational-Graph Partitioning Method for Training Memory-Constrained DNNs Fareed Qararyah Mohamed Wahib Douga Dikbayir M. E. Belviranli Didem Unat 64 10 0 19 Aug 2020
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism Yosuke Oyama N. Maruyama Nikoli Dryden Erin McCarthy P. Harrington J. Balewski Satoshi Matsuoka Peter Nugent B. Van Essen 3DV AI4CE 71 37 0 25 Jul 2020
Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel'dovich Effect N. Gupta C. Reichardt 58 14 0 13 Mar 2020
Baryon acoustic oscillations reconstruction using convolutional neural networks Tianxiang Mao Jie-Shuang Wang Baojiu Li Yan-Chuan Cai B. Falck M. Neyrinck A. Szalay 42 13 0 24 Feb 2020
Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks Héctor J. Hortúa Riccardo Volpi D. Marinelli Luigi Malagò BDL 71 23 0 19 Nov 2019
Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan" J. Amundson J. Annis Camille Avestruz D. Bowring J. Caldeira ... N. Tran S. Trivedi L. Trouille W. L. K. Wu C. Bom 59 11 0 05 Nov 2019
Parallelizing Training of Deep Generative Models on Massive Scientific Datasets S. A. Jacobs B. Van Essen D. Hysom Jae-Seung Yeom Tim Moon ... J. Gaffney Tom Benson Peter B. Robinson L. Peterson B. Spears BDL AI4CE 68 17 0 05 Oct 2019
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems Adam T. Rupe Nalini Kumar V. Epifanov K. Kashinath O. Pavlyk ... M. Patwary Sergey Maidanov Victor W. Lee M. Prabhat James P. Crutchfield AI4CE 51 19 0 25 Sep 2019
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations Shigang Li Tal Ben-Nun Salvatore Di Girolamo Dan Alistarh Torsten Hoefler 147 59 0 12 Aug 2019
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics D. Lunga Jonathan Gerrand Lexie Yang Chris Layton R. Stewart 59 34 0 08 Aug 2019
HPC AI500: A Benchmark Suite for HPC AI Systems Zihan Jiang Wanling Gao Lei Wang Xingwang Xiong Yuchen Zhang ... Yunquan Zhang Shengzhong Feng KenLi Li Weijia Xu Jianfeng Zhan ELM 68 40 0 27 Jul 2019
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale A. G. Baydin Lei Shao W. Bhimji Lukas Heinrich Lawrence Meadows ... Philip Torr Victor W. Lee Kyle Cranmer P. Prabhat Frank Wood 80 58 0 08 Jul 2019
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations J. Livezey Ahyeon Hwang Jacob Yeung K. Bouchard 98 0 0 23 May 2019
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism Nikoli Dryden N. Maruyama Tom Benson Tim Moon M. Snir B. Van Essen 69 49 0 15 Mar 2019
TensorFlow Doing HPC Steven W. D. Chien Stefano Markidis V. Olshevsky Yaroslav Bulatov Erwin Laure Jeffrey S. Vetter 40 15 0 11 Mar 2019
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation Geoffrey C. Fox J. Glazier J. Kadupitiya V. Jadhao Minje Kim ... Madhav Marathe Abhijin Adiga Jiangzhuo Chen O. Beckstein S. Jha 59 53 0 27 Feb 2019
Learning to Predict the Cosmological Structure Formation Siyu He Yin Li Yu Feng S. Ho Siamak Ravanbakhsh Wei Chen Barnabás Póczós 92 172 0 15 Nov 2018
Exascale Deep Learning for Climate Analytics Thorsten Kurth Sean Treichler Josh Romero M. Mudigonda Nathan Luehr ... Michael A. Matheson J. Deslippe M. Fatica P. Prabhat Michael Houston BDL 96 264 0 03 Oct 2018