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Near Threshold Computing
Details
This book explores near-threshold computing (NTC), a design-space using techniques to run digital chips (processors) near the lowest possible voltage. Readers will be enabled with specific techniques to design chips that are extremely robust; tolerating variability and resilient against errors. Variability-aware voltage and frequency allocation schemes will be presented that will provide performance guarantees, when moving toward near-threshold manycore chips. · Provides an introduction to near-threshold computing, enabling reader with a variety of tools to face the challenges of the power/utilization wall;
· Demonstrates how to design efficient voltage regulation, so that each region of the chip can operate at the most efficient voltage and frequency point;
· Investigates how performance guarantees can be ensured when moving towards NTC manycores through variability-aware voltage and frequency allocation schemes.
Provides an introduction to near-threshold computing, enabling reader with a variety of tools to face the challenges of the power/utilization wall Demonstrates how to design efficient voltage regulation, so that each region of the chip can operate at the most efficient voltage and frequency point Investigates how performance guarantees can be ensured when moving towards NTC many cores through variability-aware voltage and frequency allocation schemes
Inhalt
PART I: NTC opportunities, challenges and limits.- Chapter 1: Extreme Energy Efficiency by Near Threshold Voltage Operation.- Part II Micro-architecture challenges and energy management at NTC.- Chapter2: Many-core Architecture for NTC: Energy Efficiency from the Ground Up.- Chapter 3: Variability-Aware Voltage Island Management for Near-Threshold Voltage Computing With Performance Guarantees.- Part III Memory system design for NTC.- Chapter4: Resizable Data Composer (RDC) Cache: A Near-Threshold Cache tolerating Process Variation Via architectural fault tolerance.- Chapter 5 Memories for NTC.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319372099
- Lesemotiv Verstehen
- Genre Electrical Engineering
- Auflage Softcover reprint of the original 1st edition 2016
- Editor Cristina Silvano, Michael Hübner
- Sprache Englisch
- Anzahl Seiten 116
- Herausgeber Springer International Publishing
- Größe H235mm x B155mm x T7mm
- Jahr 2016
- EAN 9783319372099
- Format Kartonierter Einband
- ISBN 3319372092
- Veröffentlichung 23.08.2016
- Titel Near Threshold Computing
- Untertitel Technology, Methods and Applications
- Gewicht 189g