Michael H. Paleczny

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It is widely acknowledged in high-performance computing circles that parallel input/output needs substantial improvement in order to make scalable computers truly usable. We present a data storage model that allows processors independent access to their own data and a corresponding compilation strategy that integrates data-parallel computation with data(More)
Many computational methods are currently limited by the size of physical memory, the latency of disk storage, and the diiculty of writing an eecient out-of-core version of the application. We are investigating a compiler-based approach to the above problem. In general, our compiler techniques attempt to choreograph I/O for an application based on high-level(More)
The ParaScope Editor is an interactive parallel programming tool that assists knowledgeable users in developing scientific Fortran programs. It displays the results of sophisticated program analyses, provides a set of powerful interactive transformations, and supports program editing. This paper summarizes experiences of scientific programmers and tool(More)
  • References, R Wilson, +33 authors Seesoft
  • 1997
experience with the prototype system we have developed at this point suggests that the tool can be very effective. We showed an example of SUIF Explorer in action, improving the 8-processor parallel performance of the MDG benchmark from no speedup at all to a speedup of 6 times. The key to the success lies in having sufficiently powerful analyses that limit(More)
The ParaScope Editor is an interactive parallel programming tool that assists knowledgeable users in developing scientiic Fortran programs. It displays the results of sophisticated program analyses, provides a set of powerful interactive transformations, and supports program editing. This paper summarizes experiences of scientiic programmers and tool(More)
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