12 citations · 38 across the 8 of their papers we have counts for
5 papers · 1 filter
LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks
Noujoud Nader, Patrick Diehl, Steve Brandt +1
Large Language Models (LLMs), such as GPT-4 and DeepSeek, have been applied to a wide range of domains in software engineering. However, their potential in the context of High-Perf…
A New Execution Model and Executor for Adaptively Optimizing the Performance of Parallel Algorithms Using HPX Runtime System
Karame Mohammadiporshokooh, Steven R. Brandt, Hartmut Kaiser
Developing parallel algorithms efficiently requires careful management of concurrency across diverse hardware architectures. C++ executors provide a standardized interface that sim…
Preparing for HPC on RISC-V: Examining Vectorization and Distributed Performance of an Astrophyiscs Application with HPX and Kokkos
Patrick Diehl, Panagiotis Syskakis, Gregor Daiß +7
In recent years, interest in RISC-V computing architectures has moved from academic to mainstream, especially in the field of High Performance Computing where energy limitations ar…
HPX with Spack and Singularity Containers: Evaluating Overheads for HPX/Kokkos using an astrophysics application
Patrick Diehl, Steven R. Brandt, Gregor Daiß +1
Cloud computing for high performance computing resources is an emerging topic. This service is of interest to researchers who care about reproducible computing, for software packag…
Evaluating HPX and Kokkos on RISC-V using an Astrophysics Application Octo-Tiger
Parick Diehl, Gregor Daiss, Steven R. Brandt +4
In recent years, computers based on the RISC-V architecture have raised broad interest in the high-performance computing (HPC) community. As the RISC-V community develops the core…