"Topology-Aware Data Movement and Staging for I/O Acceleration on Blue Gene/P Supercomputing Systems."
V. Vishwanath, M, Hereld, V. Morozov, M. E. Papka
Proc. 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, Seattle, Washington, ACM, . Also Preprint ANL/MCS-P1936-0911
Preprint Version: [pdf]
There is growing concern that I/O systems will be hard pressed to satisfy the requirements of future leadership-class machines. Even current machines are found to be I/O bound for some applications. In this paper, we identify existing per-formance bottlenecks in data movement for I/O on the IBM Blue Gene/P (BG/P) supercomputer currently deployed at several leadership computing facilities. We improve the I/O performance by exploiting the network topology of BG/P for collective I/O, leveraging data semantics of applications an incorporating asynchronous data staging. We demonstrate the efficacy of our approaches for synthetic benchmark ex-periments and for application-level benchmarks at scale on leadership computing systems.