Treffer: Languages for high-productivity computing : The darpa hpcs language project

Title:
Languages for high-productivity computing : The darpa hpcs language project
Source:
Clusters and computational grids for scientific computingParallel processing letters. 17(1):89-102
Publisher Information:
Singapore: World Scientific Publishing, 2007.
Publication Year:
2007
Physical Description:
print, 17 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Mathematics and Computer Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Chicago, Illinois 60439, United States
University of California at Berkeley and Lawrence Berkeley National Laboratory, Berkeley, California 94720-1776, United States
ISSN:
0129-6264
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18702954
Database:
PASCAL Archive

Weitere Informationen

We present a summary of the current state of DARPA's HPCS language project. We describe the challenges facing any new language for scalable parallel computing, including the strong competition presented by MPI and the existing Partitioned Global Address Space (PGAS) Languages. We identify some of the major features of the proposed languages, using MPI and the PGAS languages for comparison, and describe the opportunities for higher productivity along with the implementation challenges. Finally, we present the conclusions of a recent workshop in which a concrete plan for the next few years was proposed.