Multicast routing in datagram internetworks and extended LANs
ACM Transactions on Computer Systems (TOCS)
Execution time support for adaptive scientific algorithms on distributed
Concurrency: Practice and Experience
Communication Issues in Parallel Computing Across ATM Networks
IEEE Parallel & Distributed Technology: Systems & Technology
Partitioning Unstructured Computational Graphs for Nonuniform and Adaptive Environments
IEEE Parallel & Distributed Technology: Systems & Technology
Models of Parallel Applications with Large Computation and I/O Requirements
IEEE Transactions on Software Engineering
Intelligent, adaptive file system policy selection
FRONTIERS '96 Proceedings of the 6th Symposium on the Frontiers of Massively Parallel Computation
Large files, small writes, and pNFS
Proceedings of the 20th annual international conference on Supercomputing
Massively parallel genomic sequence search on the Blue Gene/P architecture
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
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The modest I/O configurations and file system limitations of many current high-performance systems preclude solution of problems with large I/O needs. I/O hardware and file system parallelism is the key to achieve high performance. We analyze the I/O behavior of several versions of two scientific applications on the Intel Paragon XP/S. The versions involve incremental application code enhancements across multiple releases of the operating system. Studying the evolution of I/O access patterns underscores the interplay between application access patterns and file system features. Our results show that both small and large request sizes are common, that at present application developers must manually aggregate small requests to obtain high disk transfer rates, that concurrent file accesses are frequent, and that appropriate matching of the application access pattern and the file system access mode can significantly increase application I/O performance. Based on these results, we describe a set of file system design principles.