Abstract
The Bulk Synchronous Parallel (BSP) computer is a generally accepted realistic model of parallel computers introduced by Valiant in 1990. We present an extension to the BSP model - a decomposable BSP (dBSP for short). Performance of several elementary algorithms, namely broadcasting, prefix computation, and matrix multiplication, is analyzed on BSP and dBSP models. For a suitable setting of parameters, these algorithms run asymptotically faster on dBSP than on BSP. We also show how space-bounded sequential algorithms can be transformed into pipelined ones with bounded period on dBSP. Such a transformation is proved impossible for the BSP model. Finally, we present an algorithm for the simulation of dBSP on BSP.
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