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Notes01_31 - Parallel Distributed Computing Class Notes...

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Class Overview: 1. Concepts of parallel structures: Dependencies Granularity Locality 2. Performance metrics: Execution Time (latency) Speed Up Efficiency 3. Reading discussion 4. Task versus data parallelism Unlimited / Fixed / Scalable Parallelism 5. Working groups discussion Concepts of Parallel Structures: 3 topics on how to formally limit overhead. 1. Dependency: ordering relationship between computations. Examples: Message passing system: must wait to use data Protect critical region (count 3s example) Define a taxonomy by looking at the ordering of read and write operations: Data Dependencies: Read after write: flow dependency (“true” dependency) Write after read: anti dependency (“false” dependency) Write after write: output dependency (“false” dependency) 01/31/2011 Parallel & Distributed Computing Class Notes
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Read after read: no constraint Consider the code sequence: (i) sum = a + 1; (ii) first_term = sum * scale1; (iii) sum = b + 1; (iv) second_term = sum * scale2; (v) return (first_term + second_term);
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