Saturday, March 15

1:30 PM-3:30 PM
Lake Superior

MS9
High-Performance and Parallel I/O Systems for Scientific Computing

I/O performance has lagged significantly behind the computation and communication performance of high-performance computers. To eliminate this bottleneck, computer scientists are exploring new techniques and evaluating their effectiveness on high-performance computing testbeds nationwide. One of the most promising research developments is the design of a portable abstract-device interface for parallel I/O, which enables users to run applications portably and efficiently on a variety of high-performance systems. Also under investigation are remote I/O techniques for metacomputing systems and the use of multithreading to improve I/O performance in parallel programs. Central to these efforts is the characterization of I/O-intensive applications requirements, which are then used to guide the development of new programming language features, compiler techniques, runtime libraries, operating system support, parallel file systems, and high-performance networking software.

Organizer: Rick L. Stevens
Argonne National Laboratory

1:30 Experience with Parallel File Systems

John Salmon, California Institute of Technology

2:00 Performance Modeling of a Parallel I/O System: An Application Based Approach

Evgenia Smirni, University of Illinois, Urbana-Champaign

2:30 Portable Implementation of Parallel-I/O APIs

Rajeev Thakur, Argonne National Laboratory

3:00 Where Should Collective I/O be Performed? File System or Runtime System

Alok N. Choudhary, Northwestern University

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