This book studies hardware and software specifications at algorithmic level from the point of measuring and extracting the potential parallelism hidden in them. It investigates the possibilities of using this parallelism for the synthesis and optimization of highperformance software and hardware imp
Parallel Computing: Performance Analysis
β Scribed by Prof. Stewart Weiss
- Tongue
- English
- Leaves
- 18
- Series
- Parallel Computing 06
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
6 Performance Analysis
6.1 Introduction
6.2 Speedup and Efficiency
6.3 Amdahl's Law
6.3.1 Ramifications of Amdahl's Law
6.3.2 The Amdahl Effect
6.4 Gustafson-Barsis's Law
6.5 The Karp-Flatt Metric
6.6 The Isoefficiency Relation
6.6.1 Derivation of the Relation
6.6.2 Examples
6.6.2.1 Parallel Reduction
6.6.2.2 Floyd's Algorithm
6.6.2.3 Finite Difference Method
π SIMILAR VOLUMES
<i>Parallel and High Performance Computing</i> offers techniques guaranteed to boost your codeβs effectiveness. <b>Summary</b> Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save ho
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Parallel and High Performance Computing offers techniques guaranteed to boost your codeβs effectiveness. Summary Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hoursβor even day
<b><i>Parallel and High Performance Computing</i> offers techniques guaranteed to boost your codeβs effectiveness.</b> <b>Summary</b> Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can