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CS575 Parallel Processing

CS575 lecture 5. 2. Parallel Processing. Divide a computation into sub tasksExecute sub tasks in parallelCan all sub tasks run in parallel?NO! Usually there is data dependence between the sub tasksBenefit?SpeedupCost?More resourcesProcessors, memories, network. CS575 lecture 5. 3. Notation.

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CS575 Parallel Processing

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    1. CS575 Parallel Processing Lecture five: Efficiency Wim Bohm, Colorado State University Some material from “Speedup vs Efficiency in Parallel Systems” - Eager, Zahorjan and Lazowska IEEE Transactions on Computers, Vol 38 No 3, March 1989 CSU has institution license for IEEE online library Goto http://ieeexplore.ieee.org using browser opened from CSU domain machine or with CSU VPN client to download

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