Personal tools
You are here: Home Publications An Evaluation of Global Address Space Languages: Co-Array Fortran and Unified Parallel C
Document Actions

Cristian Coarfa, Yuri Dotsenko, John Mellor-Crummey, Francois Cantonnet, Tarek El-Ghazawi, Ashrujit Mohanty, YiYi Yao, and Daniel Chavarria-Miranda (2005)

An Evaluation of Global Address Space Languages: Co-Array Fortran and Unified Parallel C

In: PPoPP'05 Principles and Practice of Parallel Programming, pp. 36-47, ACM Press.

Co-array Fortran (CAF) and Unified Parallel C (UPC) are two emerging languages for single-program, multiple-data global address space programming. These languages boost programmer productivity by providing shared variables for inter-process communication instead of message passing. How- ∗ This work was supported in part by the Department of Energy under Grant DE-FC03-01ER25504/A000, the Los Alamos Computer Science Institute (LACSI) through LANL contract number 03891-99-23 as part of the prime contract (W-7405-ENG-36) between the DOE and the Regents of the University of California, Texas Advanced Technology Pro- gram under Grant 003604-0059-2001, and Compaq Com- puter Corporation under a cooperative research agreement. The computations were performed in part on an Itanium cluster purchased with support from the NSF under Grant EIA-0216467, Intel and Hewlett Packard, and on the Na- tional Science Foundation Terascale Computing System at the Pittsburgh Supercomputing Center. This research was performed in part using the Molecular Science Computing Facility (MSCF) in the William R. Wiley Environmental Molecular Sciences Laboratory, a national scientific user fa- cility sponsored by the U.S. Department of Energy’s Office of Biological and Environmental Research and located at the Pacific Northwest National Laboratory. Pacific Northwest is operated for the Department of Energy by Battelle

by admin last modified 2007-12-10 21:05
« September 2010 »
Su Mo Tu We Th Fr Sa
1234
567891011
12131415161718
19202122232425
2627282930
 

Powered by Plone

LACSI Collaborators include:

Rice University LANL UH UNM UIUC UNC UTK