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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20131120T001500Z
DTEND:20131120T020000Z
LOCATION:Mile High Pre-Function
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: High-end computing systems are increasingly characterized by machine configurations with nodes comprised of multiple CPUs and GPGPUs. Challenges using such heterogeneous machines include potential mismatches between applications needs for and capacities in using these resources versus the fixed hardware configuration: (i) codes must be tuned and configured to match underlying hardware; (ii) schedulers must map parallel jobs to efficiently use heterogeneous resources; and (iii) mismatched workloads and machine configurations may leave hardware under-utilized.=0A=0AOur work introduces GPGPU Assemblies, a software abstraction enabling the construction and maintenance of logical machine configurations, managed as slices of high-performance clusters. A novel method for extracting and applying application profiles enables our Shadowfax runtime to efficiently manage these abstractions. On Keeneland we demonstrate SHOC/S3D scaling up to 111 GPGPUs from a single machine, and up to 4.6x-5x improvements in cluster throughput on 48 and 72 nodes respectively, using configurations of LAMMPS, SHOC/S3D, and NAS-LU.
SUMMARY:Improving Utilization and Application Performance in High-Performance GPGPU Clusters with GPGPU Assemblies
PRIORITY:3
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