William Blume, Rudolf Eigenmann, Keith Faigin, John Grout, Jay Hoeflinger, David Padua, Paul Petersen, William Pottenger, Lawrence Rauchwerger, Peng Tu, Stephen Weatherford  Home/Search
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Abstract: . It is the goal of the Polaris project to develop a new parallelizing compiler that will overcome limitations of current compilers. While current parallelizing compilers may succeed on small kernels, they often fail to extract any meaningful parallelism from large applications. After a study of application codes, it was concluded that by adding a few new techniques to current compilers, automatic parallelization becomes possible. The techniques needed are interprocedural analysis, scalar and... (Update)
Context of citations to this paper: More
...for exploiting parallelism. Traditionally pattern matching and idiom recognition have been used to parallelize reductions [4, 14]. Sophisticated techniques for recognizing broader classes of reductions have also been examined [8, 19] Commutativity analysis [15]...
...have already been eliminated when the Range and Omega Tests were executed. Details of these advanced techniques can be found in [11, 10]. From Table 2, we can see that there are cases where the Range Test does better, and cases where the Omega Test does better. This should...
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BibTeX entry: (Update)
W. Blume et al. Polaris: Improving the effectiveness of parallelizing compilers. In David Gelernter, Alexandru Nicolau, and David Padua, editors, Languages and Compilers for Parallel Computing, pages 141--154. SpringerVerlag, 1994. http://citeseer.ist.psu.edu/article/blume94polaris.html More
@inproceedings{ blume94polaris,
author = "William Blume and Rudolf Eigenmann and Keith Faigin and John Grout and Jay Hoeflinger and David A. Padua and Paul Petersen and William M. Pottenger and Lawrence Rauchwerger and Peng Tu and Stephen Weatherford",
title = "Polaris: Improving the Effectiveness of Parallelizing Compilers",
booktitle = "Languages and Compilers for Parallel Computing",
pages = "141-154",
year = "1994",
url = "citeseer.ist.psu.edu/article/blume94polaris.html" }
Citations (may not include all citations):299 Dependence Analysis for Supercomputing (context) - Banerjee - 1988
106 Automatic array privatization - Tu, Padua - 1993
94 Performance Analysis of Parallelizing Compilers on the Perfe.. (context) - Blume, Eigenmann - 1992
94 Run-time parallelization and scheduling of loops (context) - Saltz, Mirchandaney et al. - 1991
84 Experience in the Automatic Parallelization of Four Perfect-.. - Eigenmann, Hoeflinger et al. - 1991
71 Data Dependence and its Application to Parallel Processing (context) - Wolfe, Banerjee - 1987
64 The Range Test: A Dependence Test for Symbolic (context) - Blume, Eigenmann - 1994
45 Symbolic Dependence Analysis for HighPerformance Parallelizi.. (context) - Haghighat, Polychronopoulos - 1991
44 The PRIVATIZING DOALL Test: A Run-Time Technique for DOALL L.. - Rauchwerger, Padua - 1994
37 The Polaris Internal Representation - Faigin, Hoeflinger et al. - 1993
32 Interprocedural transformations for parallel code generation - Hall, Kennedy et al. - 1991
19 of Illinois at Urbana-Champaign (context) - Eigenmann, Hoeflinger et al. - 1992
18 Static and Dynamic Evaluation of Data Dependence Analysis - Petersen, Padua - 1993
11 Demand-Driven Symbolic Analysis (context) - Tu, Padua - 1994
9 High-Level Pattern-Matching Extensions to C++ for Fortran Pr.. (context) - Weatherford - 1994
7 the accuracy of the Banerjee test (context) - Psarris, Klappholz et al. - 1991
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