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LCPC
1993
Springer
14 years 1 months ago
Maximizing Loop Parallelism and Improving Data Locality via Loop Fusion and Distribution
Abstract. Loop fusion is a program transformation that merges multiple loops into one. It is e ective for reducing the synchronization overhead of parallel loops and for improving ...
Ken Kennedy, Kathryn S. McKinley
IPPS
1997
IEEE
14 years 1 months ago
Interoperability of Data Parallel Runtime Libraries
This paper describes a framework for providing the ability to use multiple specialized data parallel libraries and/or languages within a single application. The ability to use mul...
Guy Edjlali, Alan Sussman, Joel H. Saltz
IPPS
2003
IEEE
14 years 2 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
IPPS
1997
IEEE
14 years 1 months ago
A Parallel Priority Data Structure with Applications
We present a parallel priority data structure that improves the running time of certain algorithms for problems that lack a fast and work-efficient parallel solution. As a main a...
Gerth Stølting Brodal, Jesper Larsson Tr&au...
IPPS
2005
IEEE
14 years 2 months ago
Data Redistribution and Remote Method Invocation in Parallel Component Architectures
With the increasing availability of high-performance massively parallel computer systems, the prevalence of sophisticated scientific simulation has grown rapidly. The complexity ...
Felipe Bertrand, Randall Bramley, Alan Sussman, Da...