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20182023
most citedApplication Experiences on a GPU-Accelerated Arm-based HPC Testbed

8 citations · 23 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.DC2022★ 8 cited

Application Experiences on a GPU-Accelerated Arm-based HPC Testbed

Wael Elwasif, William Godoy, Nick Hagerty +28

This paper assesses and reports the experience of ten teams working to port,validate, and benchmark several High Performance Computing applications on a novel GPU-accelerated Arm t…

cs.DC2022

ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP

Thomas Huber, Swaroop Pophale, Nolan Baker +9

The OpenMP language continues to evolve with every new specification release, as does the need to validate and verify the new features that have been introduced. With the release o…

cs.DC2022★ 3 cited

First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites

Holger Brunst, Sunita Chandrasekaran, Florina Ciorba +7

Modern HPC systems are built with innovative system architectures and novel programming models to further push the speed limit of computing. The increased complexity poses challeng…

cs.DC2021

Metrics and Design of an Instruction Roofline Model for AMD GPUs

Matthew Leinhauser, René Widera, Sergei Bastrakov +3

Due to the recent announcement of the Frontier supercomputer, many scientific application developers are working to make their applications compatible with AMD architectures (CPU-G…

cs.DC2021

OpenACC Acceleration of an Agent-Based Biological Simulation Framework

Matt Stack, Paul Macklin, Robert Searles +1

Computational biology has increasingly turned to agent-based modeling to explore complex biological systems. Biological diffusion (diffusion, decay, secretion, and uptake) is a key…

cs.DC2019

Assessing Performance Implications of Deep Copy Operations via Microbenchmarking

Millad Ghane, Sunita Chandrasekaran, Margaret S. Cheung

As scientific frameworks become sophisticated, so do their data structures. Current data structures are no longer simple in design and they have been progressively complicated. The…

cs.DC2019

Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures

Joshua Hoke Davis, Tao Gao, Sunita Chandresekaran +1

In this poster, we quantitatively measure the impacts of data movement on performance in MapReduce-based applications when executed on HPC systems. We leverage the PAPI 'powercap'…

cs.DC2018★ 6 cited

Power and Energy-efficiency Roofline Model for GPUs

Millad Ghane, Jeff Larkin, Larry Shi +2

Energy consumption has been a great deal of concern in recent years and developers need to take energy-efficiency into account when they design algorithms. Their design needs to be…