scholarly journals An evaluation of data-parallel compiler support for line-sweep applications

2003 ◽  
Author(s):  
D. Chavarria-Miranda ◽  
J. Mellor-Crummey
Keyword(s):  
Compiler Support ◽  
Data Parallel ◽  
Parallel Compiler ◽  
Evaluation Of Data

Data-Parallel Compiler Support for Multipartitioning

2001 ◽  
pp. 241-253 ◽  
Author(s):  
Daniel Chavarría-Miranda ◽  
John Mellor-Crummey ◽  
Trushar Sarang
Keyword(s):  
Compiler Support ◽  
Data Parallel ◽  
Parallel Compiler

scholarly journals Experiences in Data-Parallel Programming

1997 ◽  
Vol 6 (1) ◽  
pp. 153-158 ◽  
Author(s):  
Terry W. Clark ◽  
Reinhard v. Hanxleden ◽  
Ken Kennedy
Keyword(s):  
High Performance ◽  
Parallel Applications ◽  
Scientific Application ◽  
Data Parallel ◽  
High Performance Fortran ◽  
Engineering Data ◽  
Source Program ◽  
Parallel Compiler ◽  
Fortran D ◽  
Near Future

To efficiently parallelize a scientific application with a data-parallel compiler requires certain structural properties in the source program, and conversely, the absence of others. A recent parallelization effort of ours reinforced this observation and motivated this correspondence. Specifically, we have transformed a Fortran 77 version of GROMOS, a popular dusty-deck program for molecular dynamics, into Fortran D, a data-parallel dialect of Fortran. During this transformation we have encountered a number of difficulties that probably are neither limited to this particular application nor do they seem likely to be addressed by improved compiler technology in the near future. Our experience with GROMOS suggests a number of points to keep in mind when developing software that may at some time in its life cycle be parallelized with a data-parallel compiler. This note presents some guidelines for engineering data-parallel applications that are compatible with Fortran D or High Performance Fortran compilers.

scholarly journals The Pandore data-parallel compiler and its portable runtime

1995 ◽  
pp. 176-183 ◽  
Author(s):  
Franç;oise André ◽  
Marc Le Fur ◽  
Yves Mahéo ◽  
Jean-Louis Pazat
Keyword(s):  
Data Parallel ◽  
Parallel Compiler

Data parallel language and compiler support for data intensive applications

2002 ◽  
Vol 28 (5) ◽  
pp. 725-748
Author(s):  
Renato Ferreira ◽  
Gagan Agrawal ◽  
Joel Saltz
Keyword(s):  
Parallel Language ◽  
Compiler Support ◽  
Data Intensive ◽  
Data Parallel ◽  
Data Intensive Applications

Evaluation of data-parallel H.264 decoding approaches for strongly resource-restricted architectures

2010 ◽  
Vol 53 (2) ◽  
pp. 431-457 ◽  
Author(s):  
Florian H. Seitner ◽  
Michael Bleyer ◽  
Margrit Gelautz ◽  
Ralf M. Beuschel
Keyword(s):  
Data Parallel ◽  
Evaluation Of Data
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