SC13 Home > SC13 Schedule > SC13 Presentation - Improving Utilization and Application Performance in High-Performance GPGPU Clusters with GPGPU Assemblies

SCHEDULE: NOV 16-22, 2013

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Improving Utilization and Application Performance in High-Performance GPGPU Clusters with GPGPU Assemblies

SESSION: Research Poster Reception

EVENT TYPE: Posters, Electronic Posters, and Education Posters

TIME: 5:15PM - 7:00PM

AUTHOR(S):Alexander Merritt, Naila Farooqui, Vishakha Gupta, Magdalena Slawinska, Ada Gavrilovska, Karsten Schwan

ROOM:Mile High Pre-Function

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. Our 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.

Chair/Author Details:

Alexander Merritt - Georgia Institute of Technology

Naila Farooqui - Georgia Institute of Technology

Vishakha Gupta - Intel Corporation

Magdalena Slawinska - Georgia Institute of Technology

Ada Gavrilovska - Georgia Institute of Technology

Karsten Schwan - Georgia Institute of Technology

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