Parallel, Portable Sparse Code Generation with MLIR and Kokkos
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Kelley, Brian Michael↗
SEARCH · Engineering Papers
Results for “kokkos”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Towards Reverse Mode Automatic Differentiation of Kokkos-Based Code Using the LLVM Compiler Infrastructure
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Liegeois, Kim Anne J↗
Performance portability in practice with Kokkos and Trilinos solvers
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Hu, Jonathan Joseph↗
Introduction to KOKKOS
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Moore, Stan Gerald↗
PAPI Profiling for Performant Kokkos Applications on DOE HPC Systems
This is for a presentation based on an extended abstract accepted to LDMSCon 24.
Kale, Vivek Laxmikant↗
LAMMPS and SPARTA: Performance Portability of Particle Methods Through Kokkos
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Moore, Stan Gerald↗
LAMMPS and SPARTA: Performance Portability Through Kokkos
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Moore, Stan Gerald↗
Exascale Advancements In Kokkos Core
Summary of Kokokkos (open source) release features relevant to application developers working on exascale systems.
Morales, Nicolas Manuel [Sandia National Laborator↗
Omega: Towards a performance-portable ocean model using Kokkos
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Waruszewski, Maciej [Sandia National Laboratories ↗
Writing Better Kokkos Code with an AI Assistant
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Siefert, Christopher [Sandia National Laboratories↗
Sparse Linear Algebra Performance using MPI+Kokkos Across CPUs and GPUs
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Siefert, Christopher [Sandia National Laboratories↗
Enabling Performant Inter-Node Communication for Kokkos Views
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Avans, Christian Nicole [Sandia National Laborator↗
Data Order Reduction for Performance Monitoring of Supercomputers via the Kokkos Tools Sampler Utility
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Kale, Vivek Laxmikant↗
Writing Better Kokkos Code with an AI Assistant
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Siefert, Christopher [Sandia National Laboratories↗
LAMMPS-KOKKOS: Performance portable molecular dynamics across exascale
Presentation at LAMMPS workshop, content identical to recently submitted paper IR 1786384
Johansson, Anders [Sandia National Laboratories (S↗
SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson Data.
Abstract not provided.
Teranishi, Keita↗