2 citations · 2 across the 4 of their papers we have counts for
5 papers
Radiation Hydrodynamics at Scale: Comparing MPI and Asynchronous Many-Task Runtimes with FleCSI
Alexander Strack, Hartmut Kaiser, Dirk Pflüger
Writing efficient distributed code remains a labor-intensive and complex endeavor. To simplify application development, the Flexible Computational Science Infrastructure (FleCSI) f…
Parallel FFTW on RISC-V: A Comparative Study including OpenMP, MPI, and HPX
Alexander Strack, Christopher Taylor, Dirk Pflüger
Rapid advancements in RISC-V hardware development shift the focus from low-level optimizations to higher-level parallelization. Recent RISC-V processors, such as the SOPHON SG2042,…
GPRat: Gaussian Process Regression with Asynchronous Tasks
Maksim Helmann, Alexander Strack, Dirk Pflüger
Python is the de-facto language for software development in artificial intelligence (AI). Commonly used libraries, such as PyTorch and TensorFlow, rely on parallelization built int…
A HPX Communication Benchmark: Distributed FFT using Collectives
Alexander Strack, Dirk Pflüger
Due to increasing core counts in modern processors, several task-based runtimes emerged, including the C++ Standard Library for Concurrency and Parallelism (HPX). Although the asyn…
Asynchronous-Many-Task Systems: Challenges and Opportunities -- Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX
Gregor Daiß, Patrick Diehl, Jiakun Yan +9
Dynamic and adaptive mesh refinement is pivotal in high-resolution, multi-physics, multi-model simulations, necessitating precise physics resolution in localized areas across expan…