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RAJA Performance Portability Layer (C++)

4 mentions on Hacker News by 2 people: 0 stories, 4 comments · first 2019-07-21 · latest 2021-10-25

Mentions per year 4 mentions · busiest year 2019 (2)
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  1. See also at least https://github.com/LLNL/RAJA and https://www.khronos.org/sycl/ The great thing about portability layers...
  2. …ing.llnl.gov/sierra-supercomputer-dedication Some repos of interest: - https://github.com/LLNL/axom - https://github.com/LLNL/RAJA
  3. On the NNSA side of DOE, the codes very intentionally do not depend on CUDA. They use RAJA ( https://github.com/llnl/raja ) or Kokkos ( https://github.com/kokkos/kokkos ) to ensure that they're not tied to a particular GPU. Using those…
  4. At LLNL the story is similar, but the framework is RAJA: https://github.com/llnl/raja . RAJA is a bit simpler than Kokkos in that it does not require you to adopt its data structures. The Kokkos and RAJA teams are also working together on…