Design and Evaluation of Multiple-Level Data Staging for Blue Gene Systems

TitleDesign and Evaluation of Multiple-Level Data Staging for Blue Gene Systems
Publication TypeJournal Article
Year of Publication2011
AuthorsIsaila, F, J. Blas, G, Carretero, J, Latham, R, Ross, RB
JournalIEEE Transactions on Parallel and Distributed Systems
Volume22
Start Page946-959
Issue6
Date Published09/2011
Other NumbersANL/MCS-P1950-0911
Abstract

Abstract Parallel applications currently suffer from a significant imbalance between computational power and available I/O bandwidth. Additionally, the hierarchical organization of current Petascale systems contributes to an increase of the I/O subsystem latency. In these hierarchies, file access involves pipelining data through several networks with incremental latencies and higher probability of congestion. Future Exascale systems are likely to share this trait. This paper presents a scalable parallel I/O software system designed to transparently hide the latency of file system accesses to applications on these platforms. Our solution takes advantage of the hierarchy of networks involved in file accesses, to maximize the degree of overlap between computation, file I/O-related communication and file system access. We describe and evaluate a two-level hierarchy for Blue Gene systems consisting of client side and I/O node-side caching. Our file cache management modules coordinate the data staging between application and storage through the Blue Gene networks. The experimental results demonstrate that our architecture achieves significant performance improvements through a high degree of overlap between computation, communication, and file I/O.

URLhttp://www.computer.org/csdl/trans/td/2011/06/ttd2011060946-abs.html
PDFhttp://www.mcs.anl.gov/papers/P1950-0911.pdf