Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2002-09-25
Computer Science
Distributed, Parallel, and Cluster Computing
11 pages, 4 figures
Scientific paper
In this work I present a generalization of Amdahl's law on the limits of a parallel implementation with many processors. In particular I establish some mathematical relations involving the number of processors and the dimension of the treated problem, and with these conditions I define, on the ground of the reachable speedup, some classes of parallelism for the implementations. I also derive a condition for obtaining superlinear speedup. The used mathematical technics are those of differential calculus. I describe some examples from classical problems offered by the specialized literature on the subject.
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