TEMPI: An Interposed MPI Library with Canonical Representation of MPI Datatypes [Slides]
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Univ. of Illinois at Urbana-Champaign, IL (United States)
- IBM T. J. Watson Research, Ossining, NY (United States)
- NVIDIA Corporation, Santa Clara, CA (United States)
These points are covered in this presentation: Distributed GPU stencil, non-contiguous data; Equivalence of strided datatypes and minimal representation; GPU communication methods; Deploying on managed systems; Large messages and MPI datatypes; Translation and canonicalization; Automatic model-driven transfer method selection; and Interposed library implementation.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC); National Science Foundation (NSF)
- DOE Contract Number:
- NA0003525; AC05-00OR22725
- OSTI ID:
- 1872311
- Report Number(s):
- SAND2021-6846C; 696744
- Country of Publication:
- United States
- Language:
- English
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