Server-directed collective I/O in Panda
Supercomputing '95 Proceedings of the 1995 ACM/IEEE conference on Supercomputing
SPIFFI-A Scalable Parallel File System for the Intel Paragon
IEEE Transactions on Parallel and Distributed Systems
Persistent Array Access Using Server-Directed I/O
SSDBM '96 Proceedings of the Eighth International Conference on Scientific and Statistical Database Management
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Fast file systems are critical for high-performance scientific computing, since many scientific applications have tremendous I/O requirements. Many parallel supercomputers have only recently obtained fully parallel I/O architectures and file systems, which are necessary for scalable I/O performance. Scalability aside, I show here that many systems lack sufficient absolute performance. I do this by surveying the performance reported in the literature, summarized in an informal table.