1.3k citations
- Sandia National Laboratories CaliforniaUS73 papers
- Center for Integrated NanotechnologiesUS24 papers
- Los Alamos National LaboratoryUS24 papers
- University of New MexicoUS16 papers
- Princeton UniversityUS14 papers
- Oak Ridge National LaboratoryUS13 papers
- The University of Texas at AustinUS12 papers
- Lawrence Berkeley National LaboratoryUS11 papers
- Argonne National LaboratoryUS10 papers
- Georgia Institute of TechnologyUS10 papers
- Lawrence Livermore National LaboratoryUS10 papers
- Purdue University West LafayetteUS9 papers
17 papers · 1 filter
Co-Design and Evaluation of a CPU-Free MPI GPU Communication Abstraction and Implementation
Patrick G. Bridges, Derek Schafer, Jack Lange +7
Removing the CPU from the communication fast path is essential to efficient GPU-based ML and HPC application performance. However, existing GPU communication APIs either continue t…
Experience Deploying Containerized GenAI Services at an HPC Center
Angel M. Beltre, Jeff Ogden, Kevin Pedretti
Generative Artificial Intelligence (GenAI) applications are built from specialized components -- inference servers, object storage, vector and graph databases, and user interfaces…
LAMMPS-KOKKOS: Performance Portable Molecular Dynamics Across Exascale Architectures
Anders Johansson, Evan Weinberg, Christian R. Trott +2
Since its inception in 1995, LAMMPS has grown to be a world-class molecular dynamics code, with thousands of users, over one million lines of code, and multi-scale simulation capab…
Report on Challenges of Practical Reproducibility for Systems and HPC Computer Science
Kate Keahey, Marc Richardson, Rafael Tolosana Calasanz +4
This report synthesizes findings from the November 2024 Community Workshop on Practical Reproducibility in HPC, which convened researchers, artifact authors, reviewers, and chairs…
Breaking the mold: overcoming the time constraints of molecular dynamics on general-purpose hardware
Danny Perez, Aidan Thompson, Stan Moore +11
The evolution of molecular dynamics (MD) simulations has been intimately linked to that of computing hardware. For decades following the creation of MD, simulations have improved w…
Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O
S. Isaac Geronimo Anderson, Daniel M. Dunlavy
We extend an existing approach for efficient use of shared mapped memory across Chapel and C++ for graph data stored as 1-D arrays to sparse tensor data stored using a combination…