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High-Level, One-Sided Programming Models on MPI: A Case Study with Global Arrays and NWChem
SESSION: Research Poster Reception
EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Bernd Mohr
AUTHOR(S):James Dinan, Pavan Balaji, Jeff R. Hammond, Sriram Krishnamoorthy, Vinod Tipparaju
ROOM:WSCC North Galleria 2nd/3rd Floors
ABSTRACT: Global Arrays (GA) is popular high-level parallel programming model that provides data and computation management facilities to the NWChem computational chemistry suite. GA's global-view data model is supported by the ARMCI partitioned global address space runtime system, which traditionally is implemented natively on each supported platform in order to provide the best performance. The industry standard Message Passing Interface (MPI) also provides one-sided functionality and is available on virtually every supercomputing system. We present the first high-performance, portable implementation of ARMCI using MPI one-sided communication. We interface the existing GA infrastructure with ARMCI-MPI and demonstrate that this approach reduces the amount of resources consumed by the runtime system, provides comparable performance, and enhances portability for applications like NWChem.
Bernd Mohr (Chair) - Juelich Supercomputing Centre
James Dinan - Argonne National Laboratory
Pavan Balaji - Argonne National Laboratory
Jeff R. Hammond - Argonne National Laboratory
Sriram Krishnamoorthy - Pacific Northwest National Laboratory