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I/O Performance Challenges at Leadership Scale

Authors:
Samuel Lang  (Argonne National Laboratory)
Philip Carns  (Argonne National Laboratory)
Kevin Harms  (Argonne National Laboratory)
Robert Latham  (Argonne National Laboratory)
Robert Ross  (Argonne National Laboratory)
William Allcock  (Argonne National Laboratory)
Papers Session
High Performance Filesystems and I/O
Wednesday,  01:30PM - 02:00PM
Room PB251
Abstract:
Today's top high performance computing systems run applications with hundreds of thousands of processes, contain hundreds of storage nodes, and must meet massive I/O requirements for capacity and performance. These leadership-class systems face daunting challenges to deploying scalable I/O systems. In this paper we present a case study of the I/O challenges to performance and scalability on Intrepid, the IBM Blue Gene/P system at the Argonne Leadership Computing Facility. Listed in the top 5 fastest supercomputers of 2008, Intrepid runs computational science applications with intensive demands on the I/O system. We show that Intrepid's file and storage system sustain high performance under varying workloads as the applications scale with the number of processes.
The full paper can be found in the ACM Digital Library and IEEE Computer Society
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