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A generic interface for parallel access to large data sets from HPF applications
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DOI：10.1016/S0167-739X(01)00040-1.png)
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Abstract
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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 KPF 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 VFC and the parallel I/O run-time system Panda. Experimental performance results are discussed in the context of financial management and traffic simulation applications. (C) 2001 Elsevier Science B.V. All rights reserved.
Keywords:
HPF
parallel I/O
Panda
checkpoint
restart
timestep
performance
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