3 citations · 3 across the 4 of their papers we have counts for
7 papers
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…
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…
Refactoring the MPS/University of Chicago Radiative MHD(MURaM) Model for GPU/CPU Performance Portability Using OpenACC Directives
Eric Wright, Damien Przybylski, Matthias Rempel +5
The MURaM (Max Planck University of Chicago Radiative MHD) code is a solar atmosphere radiative MHD model that has been broadly applied to solar phenomena ranging from quiet to act…
Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs
Joshua Hoke Davis, Christopher Daley, Swaroop Pophale +3
Heterogeneous systems are becoming increasingly prevalent. In order to exploit the rich compute resources of such systems, robust programming models are needed for application deve…
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…
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'…