Frustrated With MPI+Threads? Try MPIxThreads!
Author:
Affiliation:
1. Argonne National Laboratory, USA
Funder
DOE U.S. Department of Energy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3615318.3615320
Reference16 articles.
1. Performance and Power Efficient Massive Parallel Computational Model for HPC Heterogeneous Exascale Systems
2. Satish Balay Shrirang Abhyankar Mark F. Adams Steven Benson Jed Brown Peter Brune Kris Buschelman Emil Constantinescu Lisandro Dalcin Alp Dener Victor Eijkhout Jacob Faibussowitsch William D. Gropp Václav Hapla Tobin Isaac Pierre Jolivet Dmitry Karpeev Dinesh Kaushik Matthew G. Knepley Fande Kong Scott Kruger Dave A. May Lois Curfman McInnes Richard Tran Mills Lawrence Mitchell Todd Munson Jose E. Roman Karl Rupp Patrick Sanan Jason Sarich Barry F. Smith Stefano Zampini Hong Zhang Hong Zhang and Junchao Zhang. 2023. PETSc/TAO Users Manual. Technical Report ANL-21/39 - Revision 3.19. Argonne National Laboratory. Satish Balay Shrirang Abhyankar Mark F. Adams Steven Benson Jed Brown Peter Brune Kris Buschelman Emil Constantinescu Lisandro Dalcin Alp Dener Victor Eijkhout Jacob Faibussowitsch William D. Gropp Václav Hapla Tobin Isaac Pierre Jolivet Dmitry Karpeev Dinesh Kaushik Matthew G. Knepley Fande Kong Scott Kruger Dave A. May Lois Curfman McInnes Richard Tran Mills Lawrence Mitchell Todd Munson Jose E. Roman Karl Rupp Patrick Sanan Jason Sarich Barry F. Smith Stefano Zampini Hong Zhang Hong Zhang and Junchao Zhang. 2023. PETSc/TAO Users Manual. Technical Report ANL-21/39 - Revision 3.19. Argonne National Laboratory.
3. A survey of MPI usage in the US exascale computing project
4. Design and evaluation of Nemesis, a scalable, low-latency, message-passing communication subsystem
5. Enabling communication concurrency through flexible MPI endpoints
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