Myths and Legends in High-Performance Computing

Myths and Legends in High-Performance Computing

6 January 2023

Satoshi Matsuoka

Aleksandr Drozd

Torsten Hoefler

Papers citing "Myths and Legends in High-Performance Computing"

17 / 17 papers shown

Title
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast Kaifeng Bi Lingxi Xie Hengheng Zhang Xin Chen Xiaotao Gu Qi Tian AI4Cl 68 159 0 03 Nov 2022
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers Elias Frantar Saleh Ashkboos Torsten Hoefler Dan Alistarh MQ 92 975 0 31 Oct 2022
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability Daniele De Sensi T. De Matteis Konstantin Taranov Salvatore Di Girolamo Tobias Rahn Torsten Hoefler 38 12 0 27 Oct 2022
Compressing multidimensional weather and climate data into neural networks La-mei Huang Torsten Hoefler AI4CE 91 33 0 22 Oct 2022
Neural Networks are Decision Trees Çağlar Aytekin FAtt 52 25 0 11 Oct 2022
Productive Performance Engineering for Weather and Climate Modeling with Python Tal Ben-Nun Linus Groner Florian Deconinck Tobias Wicky Eddie Davis ... Lukas Trumper E. Wu O. Fuhrer T. Schulthess Torsten Hoefler 45 17 0 09 May 2022
Recovering single precision accuracy from Tensor Cores while surpassing the FP32 theoretical peak performance Hiroyuki Ootomo Rio Yokota 38 32 0 07 Mar 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators Jaideep Pathak Shashank Subramanian P. Harrington S. Raja Ashesh Chattopadhyay ... Zong-Yi Li Kamyar Azizzadenesheli Pedram Hassanzadeh K. Kashinath Anima Anandkumar AI4Cl 213 687 0 22 Feb 2022
Simulation Intelligence: Towards a New Generation of Scientific Methods Alexander Lavin D. Krakauer Hector Zenil Justin Emile Gottschlich Tim Mattson ... A. Hanuka Manuela Veloso Samuel A. Assefa Stephan Zheng Avi Pfeffer 110 110 0 06 Dec 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 94 97 0 01 Jul 2021
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 56 25 0 27 Oct 2020
Data Movement Is All You Need: A Case Study on Optimizing Transformers A. Ivanov Nikoli Dryden Tal Ben-Nun Shigang Li Torsten Hoefler 91 134 0 30 Jun 2020
Building high accuracy emulators for scientific simulations with deep neural architecture search M. F. Kasim D. Watson‐Parris L. Deaconu Sophy Oliver P. Hatfield ... S. Khatiwala J. Korenaga J. Topp-Mugglestone E. Viezzer S. Vinko AI4CE 31 92 0 17 Jan 2020
More Bang for Your Buck: Improved use of GPU Nodes for GROMACS 2018 Carsten Kutzner Szilárd Páll M. Fechner A. Esztermann B. L. de Groot H. Grubmuller 33 314 0 14 Mar 2019
Stateful Dataflow Multigraphs: A Data-Centric Model for Performance Portability on Heterogeneous Architectures Tal Ben-Nun Johannes de Fine Licht A. Ziogas Timo Schneider Torsten Hoefler 69 103 0 27 Feb 2019
Deep learning to represent sub-grid processes in climate models S. Rasp Michael S. Pritchard Pierre Gentine AI4Cl AI4CE 43 728 0 12 Jun 2018
Disaggregated and optically interconnected memory: when will it be cost effective? B. Abali R. Eickemeyer Hubertus Franke Chung-Sheng Li M. Taubenblatt 38 34 0 03 Mar 2015