Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms: A Cross-layer Approach

Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms: A Cross-layer Approach

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Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms: A Cross-layer Approach

Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms: A Cross-layer Approach

$39.99

This book describes the state-of-the art of industrial and academic research in the architectural design of heterogeneous, multi/many-core processors. The authors describe methods and tools to enable next-generation embedded and high-performance heterogeneous processors to confront cost-effectively the inevitable variations by providing Dependable-Performance: correct functionality and timing guarantees throughout the expected lifetime of a platform under thermal, power, and energy constraints. Various aspects of the reliability problem are discussed, at both the circuit and architecture level, the intelligent selection of knobs and monitors in multicore platforms, and systematic design methodologies. The authors demonstrate how new techniques have been applied in real case studies from different applications domain and report on results and conclusions of those experiments. Enables readers to develop performance-dependableheterogeneous multi/many-core architectures Describes system software designs that support high performance dependability requirements Discusses and analyzes low level methodologies to tradeoff conflicting metrics, i.e. power, performance, reliability and thermal management Includes new application design guidelines to improve performance dependability\nHarnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms: A Cross-layer Approach is written by William Fornaciari and published by Springer. ISBNs for Harnessing Performance Variability in Embedded and High-performance Many/Multi-core Platforms are 9783319919621, 3319919628 and the print ISBNs are 9783319919614, 331991961X.

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SKUGC-957687409
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