research-article

Application Performance on the Newest Processors and GPUs

Authors:

Dave Turner,

Dan Andresen,

Kyle Hutson,

Adam TygartAuthors Info & Claims

PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity

Article No.: 37, Pages 1 - 7

https://doi.org/10.1145/3219104.3219158

Published: 22 July 2018 Publication History

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Abstract

This paper discusses the capabilities of the newest processors and GPUs to run a mixture of the most common chemistry applications. The baseline system for these comparisons is the 32-core Intel Broadwell processor which has been around for two years. Comparisons are made to the newer Intel Skylake and the AMD EPYC processors. The EPYC architecture has typically twice as many cores so one point of comparison is whether each code can effectively make use of the higher core count. These codes can be accelerated using GPUs with some taking advantage of 32-bit acceleration while others need good 64-bit performance. The consumer grade NVIDIA GeForce GTX 1080Ti cards are used as the baseline for the GPU comparisons. Higher level NVIDIA Quadro GP100 and Titan V cards are evaluated using each code. All applications use CUDA to enable GPU acceleration. AMD provides tools in its HIP package that allow translation of C and C++ CUDA code into source code that can be compiled with either NVIDIA's NVCC or AMD's HCC compilers. This project also involves investigating the performance and ease of converting CUDA code to run on the AMD Radeon Vega Frontier Edition GPU card.

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Lehmann FBader JTschirpke FThamsen LLeser U(2023)How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)10.1109/CCGrid57682.2023.00025(166-179)Online publication date: May-2023
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Bader JLehmann FThamsen LWill JLeser UKao O(2022)Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous ClustersProceedings of the 34th International Conference on Scientific and Statistical Database Management10.1145/3538712.3538739(1-12)Online publication date: 6-Jul-2022
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Index Terms

Application Performance on the Newest Processors and GPUs
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation types and techniques
      1. Massively parallel and high-performance simulations

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Published In

PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity

July 2018

652 pages

ISBN:9781450364461

DOI:10.1145/3219104

General Chair:
Sergiu Sanielevici
Pittsburgh Supercomputing Center

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2018

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PEARC '18

PEARC '18: Practice and Experience in Advanced Research Computing

July 22 - 26, 2018

PA, Pittsburgh, USA

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PEARC '18 Paper Acceptance Rate 79 of 123 submissions, 64%;

Overall Acceptance Rate 133 of 202 submissions, 66%

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Agrawal NDas AModani M(2024)Scalability Analysis of Molecular Dynamics Simulation Using NAMD on Ampere-Based Dense GPU SupercomputerICT: Cyber Security and Applications10.1007/978-981-97-0744-7_1(1-12)Online publication date: 14-May-2024
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Lehmann FBader JTschirpke FThamsen LLeser U(2023)How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)10.1109/CCGrid57682.2023.00025(166-179)Online publication date: May-2023
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