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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
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DTSTART:20131120T173000Z
DTEND:20131120T181500Z
LOCATION:501/502
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The basic challenge for exascale HPC is an application architecture that is capable of delivering incrementally better performance and reliability at the same time as we build larger applications.=0A=0AWe address this challenge by applying the statistic multiplexing principle (like packet switching in data communications) to HPC applications by treating each HPC application as an application-dependent data network where the data objects are statistic multiplexed. We show that SMC-enabled applications have zero checkpoint and rollback overheads. We also show that SMC-enabled application can deliver counter-intuitively better performance than bare-metal MPI programs via optimal granularity probing. The project is a collaboration between Temple University and NCAR. It is currently in beta-phase. The source code is available on github.com. =0A=0ALive demos from owlsnest.hpc.temple.edu (parallel matrix SMC and MPI comparisons) and yellowston.ucar.edu (WRF demonstration).
SUMMARY:Statistic Multiplexed HPC  A Blueprint for Exascale Computing
PRIORITY:3
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