ACM Home Page
Please provide us with feedback. Feedback
NetSolve: a network server for solving computational science problems
Full text PdfPdf (12.42 MB)
Source Conference on High Performance Networking and Computing archive
Proceedings of the 1996 ACM/IEEE conference on Supercomputing (CDROM) table of contents
Pittsburgh, Pennsylvania, United States
Article No. 40  
Year of Publication: 1996
ISBN:0-89791-854-1
Authors
Sponsor
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 5,   Citation Count: 21
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/369028.369111
What is a DOI?

ABSTRACT

This paper presents a new system, called NetSolve, that allows users to access computational resources, such as hardware and software, distributed across the network. The development of NetSolve was motivated by the need for an easy-to-use, efficient mechanism for using computational resources remotely. Ease of use is obtained as a result of different interfaces, some of which require no programming effort from the user. Good performance is ensured by a load-balancing policy that enables NetSolve to use the computational resources available as efficiently as possible. NetSolve offers the ability to look for computational resources on a network, choose the best one availab le, solve a problem (with retry for fault-tolerance), and return the answer to the user.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Inc The Math Works. MATLAB Reference Guide. 1992.
2
3
4
 
5
 
6
David M. Young David R. Kincaid, John R. Respess and Roger G. Grimes. Itpack 2c: A fortran package for solving large sparse linear systems by adaptive accelerated iterative methods. Technical report, University of Texas at Austin, Boeing Computer Services Company, 1996.
 
7
J. J. Dongarra, J. R. Bunch, C. B. Moler, and G. W. Stewart. LINPACK Users' Guide. SIAM Press, 1979.
 
8

CITED BY  21

Collaborative Colleagues:
Henri Casanova: colleagues
Jack Dongarra: colleagues