Using Simple Abstraction to Reinvent Computing for Parallelism.

The article presents a method for teaching computer programmers to think in terms of parallel algorithms, designed to enable improved programming for multi-processor machines. It involves an Immediate Concurrent Execution (ICE) abstraction, which is supported by explicit multi-threaded (XMT) compute...

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Detalles Bibliográficos
Publicado en:Communications of the ACM Vol. 54; no. 1; pp. 75 - 86
Autor principal: VISHKIN, UZI
Formato: Artículo
Publicado: Association for Computing Machinery Jan2011
Materias:
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:The article presents a method for teaching computer programmers to think in terms of parallel algorithms, designed to enable improved programming for multi-processor machines. It involves an Immediate Concurrent Execution (ICE) abstraction, which is supported by explicit multi-threaded (XMT) computer architecture and parallel random-access machine (PRAM) algorithmics. A workflow using these techniques is described, and the advantages of such an approach over serial algorithms are explicated. The major steps involved in the ranking/merging algorithm are discussed, and a block diagram of the XMT architecture is included.