4 citations · 4 across the 3 of their papers we have counts for
6 papers · 1 filter
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,…
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…
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…
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…
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…
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…