NDLI: Algorithm-based fault-tolerant programming in scientific computation on multiprocessors

Content Provider	IEEE Xplore Digital Library
Author	Altmann, J. Bohm, A.
Copyright Year	1995
Description	Author affiliation: IMMD III, Erlangen-Nurnberg Univ., Germany (Altmann, J.; Bohm, A.)
Abstract	Efficient parallel algorithms proposed to solve many fundamental problems in scientific computation are sensitive to processor failures. Because of its low costs, algorithm-based fault tolerance is an interesting concept for introducing fault tolerance into existing multiprocessors. To facilitate fault-tolerant programming in scientific computation, we have modified and developed further an existing parallel run-time environment. In this paper the aspect of tuning known error processing techniques to the algorithm-based approach is primarily examined. Design issues for implementation and execution time overhead of a fault-tolerant application in our run-time environment are studied. In contrast to many other environments for parallel fault-tolerant programming, which use the master/slave programming model, our environment enables one to add fault tolerance to existing parallel applications in scientific computation.
Starting Page	374
Ending Page	382
File Size	788853
Page Count	9
File Format	PDF
ISBN	0818670312
ISSN	10666192
DOI	10.1109/EMPDP.1995.389185
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-01-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault tolerance Fault detection Hardware Fault tolerant systems Concurrent computing Parallel programming Application software Costs Runtime environment Fault diagnosis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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