I/O performance challenges at leadership scale

Samuel Lang, Philip Carns, Robert Latham, Robert Ross, Kevin Harms, William Allcock
2009 Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis - SC '09  
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 leadershipclass 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
more » ... est 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.
doi:10.1145/1654059.1654100 dblp:conf/sc/LangCLRHA09 fatcat:ztzndu4sivgbvctctnbkcstnaa