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Fault-Tolerant Parallel Computation presents recent advances in
algorithmic ways of introducing fault-tolerance in multiprocessors
under the constraint of preserving efficiency. The difficulty
associated with combining fault-tolerance and efficiency is that
the two have conflicting means: fault-tolerance is achieved by
introducing redundancy, while efficiency is achieved by removing
redundancy. This monograph demonstrates how in certain models of
parallel computation it is possible to combine efficiency and
fault-tolerance and shows how it is possible to develop efficient
algorithms without concern for fault-tolerance, and then correctly
and efficiently execute these algorithms on parallel machines whose
processors are subject to arbitrary dynamic fail-stop errors. The
efficient algorithmic approaches to multiprocessor fault-tolerance
presented in this monograph make a contribution towards bridging
the gap between the abstract models of parallel computation and
realizable parallel architectures. Fault-Tolerant Parallel
Computation presents the state of the art in algorithmic approaches
to fault-tolerance in efficient parallel algorithms. The monograph
synthesizes work that was presented in recent symposia and
published in refereed journals by the authors and other leading
researchers. This is the first text that takes the reader on the
grand tour of this new field summarizing major results and
identifying hard open problems. This monograph will be of interest
to academic and industrial researchers and graduate students
working in the areas of fault-tolerance, algorithms and parallel
computation and may also be used as a text in a graduate course on
parallel algorithmic techniques and fault-tolerance.
Fault-Tolerant Parallel Computation presents recent advances in
algorithmic ways of introducing fault-tolerance in multiprocessors
under the constraint of preserving efficiency. The difficulty
associated with combining fault-tolerance and efficiency is that
the two have conflicting means: fault-tolerance is achieved by
introducing redundancy, while efficiency is achieved by removing
redundancy. This monograph demonstrates how in certain models of
parallel computation it is possible to combine efficiency and
fault-tolerance and shows how it is possible to develop efficient
algorithms without concern for fault-tolerance, and then correctly
and efficiently execute these algorithms on parallel machines whose
processors are subject to arbitrary dynamic fail-stop errors. The
efficient algorithmic approaches to multiprocessor fault-tolerance
presented in this monograph make a contribution towards bridging
the gap between the abstract models of parallel computation and
realizable parallel architectures. Fault-Tolerant Parallel
Computation presents the state of the art in algorithmic approaches
to fault-tolerance in efficient parallel algorithms. The monograph
synthesizes work that was presented in recent symposia and
published in refereed journals by the authors and other leading
researchers. This is the first text that takes the reader on the
grand tour of this new field summarizing major results and
identifying hard open problems. This monograph will be of interest
to academic and industrial researchers and graduate students
working in the areas of fault-tolerance, algorithms and parallel
computation and may also be used as a text in a graduate course on
parallel algorithmic techniques and fault-tolerance.
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