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Supercomputing '95 Proceedings of the 1995 ACM/IEEE conference on Supercomputing
The Vesta parallel file system
ACM Transactions on Computer Systems (TOCS)
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Proceedings of the fourth workshop on I/O in parallel and distributed systems: part of the federated computing research conference
ENWRICH: a compute-processor write caching scheme for parallel file systems
Proceedings of the fourth workshop on I/O in parallel and distributed systems: part of the federated computing research conference
Performance of the gallery parallel file system
Proceedings of the fourth workshop on I/O in parallel and distributed systems: part of the federated computing research conference
The galley parallel file system
ICS '96 Proceedings of the 10th international conference on Supercomputing
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IEEE Transactions on Parallel and Distributed Systems
Proceedings of the fifth workshop on I/O in parallel and distributed systems
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IEEE Transactions on Software Engineering
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IEEE Parallel & Distributed Technology: Systems & Technology
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IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
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HPDC '96 Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
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IEEE Transactions on Parallel and Distributed Systems
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Proceedings of the 20th annual international conference on Supercomputing
A case study of parallel I/O for biological sequence search on Linux clusters
International Journal of High Performance Computing and Networking
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Proceedings of the 2008 ACM/IEEE conference on Supercomputing
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SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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High-performance parallel file systems are needed to satisfy tremendous I/O requirements of parallel scientific applications. The design of such high-performance parallel file systems depends on a comprehensive understanding of the expected workload, but so far there have been very few usage studies of multiprocessor file systems. This paper is part of the CHARISMA project, which intends to fill this void by measuring real file-system workloads on various production parallel machines. In particular, here we present results from the CM-5 at the National Center for Supercomputing Applications. Our results are unique because we collect information about nearly every individual I/O request from the mix of jobs running on the machine. Analysis of the traces leads to various recommendations for parallel file-system design.