activity
20182023
most citedFrom Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions

23 citations · 68 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.DC2023

STaKTAU: profiling HPC applications' operating system usage

Camille Coti, Kevin Huck, Allen D. Malony

This paper presents a approach for measuring the time spent by HPC applications in the operating system's kernel. We use the SystemTap interface to insert timers before and after s…

cs.DC2023★ 8 cited

Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku

Patrick Diehl, Gregor Daiß, Kevin Huck +4

The increasing availability of machines relying on non-GPU architectures, such as ARM A64FX in high-performance computing, provides a set of interesting challenges to application d…

cs.DC2022★ 4 cited

Distributed, combined CPU and GPU profiling within HPX using APEX

Patrick Diehl, Gregor Daiss, Kevin Huck +6

Benchmarking and comparing performance of a scientific simulation across hardware platforms is a complex task. When the simulation in question is constructed with an asynchronous,…

cs.DC2021

Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit

Patrick Diehl, Gregor Daiß, Dominic Marcello +5

Octo-Tiger is a code for modeling three-dimensional self-gravitating astrophysical fluids. It was particularly designed for the study of dynamical mass transfer between interacting…

cs.DC2021★ 2 cited

Memory Reduction using a Ring Abstraction over GPU RDMA for Distributed Quantum Monte Carlo Solver

Weile Wei, Eduardo D'Azevedo, Kevin Huck +3

Scientific applications that run on leadership computing facilities often face the challenge of being unable to fit leading science cases onto accelerator devices due to memory con…

cs.DC2020★ 2 cited

Performance Analysis of a Quantum Monte Carlo Application on Multiple Hardware Architectures Using the HPX Runtime

Weile Wei, Arghya Chatterjee, Kevin Huck +2

This paper describes how we successfully used the HPX programming model to port the DCA++ application on multiple architectures that include POWER9, x86, ARM v8, and NVIDIA GPUs. W…

cs.DC2020

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool

Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi +11

Because of the limits input/output systems currently impose on high-performance computing systems, a new generation of workflows that include online data reduction and analysis is…

cs.DC2019★ 23 cited

From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions

Gregor Daiß, Parsa Amini, John Biddiscombe +7

We study the simulation of stellar mergers, which requires complex simulations with high computational demands. We have developed Octo-Tiger, a finite volume grid-based hydrodynami…