Parallel I/O plays a crucial role for most data-intensive applications running on massively parallel systems like Blue Gene/L that provides the promise of delivering enormous comp...
Hao Yu, Ramendra K. Sahoo, C. Howson, G. Almasi, J...
Parallel I/O needs to keep pace with the demand of high performance computing applications on systems with ever-increasing speed. Exploiting high-end interconnect technologies to ...
Distributed parallel applications often run for hours or even days before arriving to a result. In the case of such long-running programs, the initial requirements could change aft...
Dong Kwan Kim, Myoungkyu Song, Eli Tilevich, Calvi...
State-of-the-art run-time systems are a poor match to diverse, dynamic distributed applications because they are designed to provide support to a wide variety of applications, with...
Lawrence Rauchwerger, Nancy M. Amato, Josep Torrel...
Current pattern-detection proposals for streaming data recognize the need to move beyond a simple regular-expression model over strictly ordered input. We continue in this directi...
Badrish Chandramouli, Jonathan Goldstein, David Ma...