A static analysis of I/O characteristics of scientific applications in a production workload

• Published in: Proceedings of the 1993 ACM/IEEE conference on Supercomputing pp. 388 - 397
• Main Authors: Pasquale, B. K., Polyzos, G. C.
• Format: Conference Proceeding
• Language: English
• Published: New York, NY, USA ACM 01.12.1993; IEEE
• Series: ACM Conferences
• Subjects: Application software; Applied computing > Physical sciences and engineering > Chemistry; Central Processing Unit; Computer science; Computer systems organization > Architectures; Computer systems organization > Architectures > Distributed architectures > Grid computing; Computer systems organization > Architectures > Parallel architectures > Multicore architectures; Computer systems organization > Architectures > Serial architectures > Superscalar architectures; Computing methodologies > Modeling and simulation > Simulation types and techniques > Massively parallel and high-performance simulations; Concurrent computing; Hardware > Hardware validation; High performance computing; Laboratories; Parallel processing; Performance analysis; Production systems; Software and its engineering > Software organization and properties > Software system structures > Distributed systems organizing principles > Grid computing; System performance
• ISBN: 0818643404; 9780818643408
• ISSN: 1063-9535
• DOI: 10.1145/169627.169759

Past research on high performance computers for scientific applications has concentrated on CPU speed and exploitation of parallelism, but has, until very recently, neglected I/O considerations. This paper presents a study of the production workload at the San Diego Supercomputer Center from an I/O requirements and characteristics perspective. Results of the analyses support the hypothesis that a significant proportion of I/O intensive, long running, frequently executed scientific applications have predictable I/O requirements.