Concurrent file operations in a high performance
Proceedings of the 1992 ACM/IEEE conference on Supercomputing
The galley parallel file system
ICS '96 Proceedings of the 10th international conference on Supercomputing
Multidimensional array I/O in Panda 1.0
The Journal of Supercomputing
Dynamic Declustering Methods for Parallel Grid Files
Proceedings of the Third International ACPC Conference with Special Emphasis on Parallel Databases and Parallel I/O: Parallel Computation
Advanced Data Repository Support for JAVA Scientific Programming
HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
ViPIOS: The Vienna Parallel Input/Output System
Euro-Par '98 Proceedings of the 4th International Euro-Par Conference on Parallel Processing
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A critical performance issue for a number of scientific and engineering applications is the efficient transfer of data to secondary storage. Languages such as High Performance Fortran (HPF) have been introduced to allow programming distributed-memory systems at a relatively high level of abstraction. However, the present version of HPF does not provide appropriate constructs for controlling the parallel I/O capabilities of these systems. In this paper, constructs to specify parallel I/O operations on multidimensional arrays in the context of HPF are proposed. The paper also presents implementation concepts that are based on the HPF compiler developed at the University of Vienna and the parallel I/O runtime system Panda developed at the University of Illinois. Experimental performance results are discussed in the context of financial management and traffic simulation applications.