43 citations · 354 across the 32 of their papers we have counts for
32 papers
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…
Hydrodynamic simulations of WD-WD mergers and the origin of RCB stars
Sagiv Shiber, Orsola De Marco, Patrick M. Motl +10
We study the properties of double white dwarf (DWD) mergers by performing hydrodynamic simulations using the new and improved adaptive mesh refinement code Octo-Tiger. We follow th…
HPX -- An open source C++ Standard Library for Parallelism and Concurrency
Thomas Heller, Patrick Diehl, Zachary Byerly +2
To achieve scalability with today's heterogeneous HPC resources, we need a dramatic shift in our thinking; MPI+X is not enough. Asynchronous Many Task (AMT) runtime systems break d…
Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java
Patrick Diehl, Steven R. Brandt, Max Morris +2
Many scientific high performance codes that simulate e.g. black holes, coastal waves, climate and weather, etc. rely on block-structured meshes and use finite differencing methods…
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…