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

collaborators

11 papers

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.HC2022

Traveler: Navigating Task Parallel Traces for Performance Analysis

Sayef Azad Sakin, Alex Bigelow, R. Tohid +7

Understanding the behavior of software in execution is a key step in identifying and fixing performance issues. This is especially important in high performance computing contexts…

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…