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Workload Dependent Mitigation Approaches For Performance Variability


Workload Dependent Mitigation Approaches For Performance Variability
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Workload Dependent Mitigation Approaches For Performance Variability


Workload Dependent Mitigation Approaches For Performance Variability
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Author : Ji-Yung Lin
language : en
Publisher: Springer Nature
Release Date : 2025-06-29

Workload Dependent Mitigation Approaches For Performance Variability written by Ji-Yung Lin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-29 with Technology & Engineering categories.


This book provides a holistic view of workload-dependent mitigation techniques for performance variability. The authors describe the use of design-time profiling information to reduce the uncertainties in future execution time calculation at run time, thereby offering the best option for minimizing system costs while reducing missed deadlines. Readers are introduced to an approach that combines dynamic voltage and frequency scaling (DVFS) with heterogeneous datapaths (HDP), enabling users to tackle performance variability of multiple timescales down to the sub-millisecond level.



Neuromorphic Solutions For Sensor Fusion And Continual Learning Systems


Neuromorphic Solutions For Sensor Fusion And Continual Learning Systems
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Author : Ali Safa
language : en
Publisher: Springer Nature
Release Date : 2024-07-17

Neuromorphic Solutions For Sensor Fusion And Continual Learning Systems written by Ali Safa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Technology & Engineering categories.


This book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigation using a fusion of retina-inspired event-based camera and radar sensing. The authors describe important new findings about the Spike-Timing-Dependent Plasticity (STDP) learning rule, which is widely believed to be one of the key learning mechanisms taking place in the brain. Readers will be enabled to create novel classes of edge AI and robotics applications, using highly energy- and area-efficient SNNs



Workload Dependent Mitigation Approaches For Performance Variability


Workload Dependent Mitigation Approaches For Performance Variability
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Author : Ji-Yung Lin
language : en
Publisher: Springer
Release Date : 2025-06-20

Workload Dependent Mitigation Approaches For Performance Variability written by Ji-Yung Lin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-20 with Technology & Engineering categories.


This book provides a holistic view of workload-dependent mitigation techniques for performance variability. The authors describe the use of design-time profiling information to reduce the uncertainties in future execution time calculation at run time, thereby offering the best option for minimizing system costs while reducing missed deadlines. Readers are introduced to an approach that combines dynamic voltage and frequency scaling (DVFS) with heterogeneous datapaths (HDP), enabling users to tackle performance variability of multiple timescales down to the sub-millisecond level.



Harnessing Performance Variability In Embedded And High Performance Many Multi Core Platforms


Harnessing Performance Variability In Embedded And High Performance Many Multi Core Platforms
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Author : William Fornaciari
language : en
Publisher: Springer
Release Date : 2018-10-23

Harnessing Performance Variability In Embedded And High Performance Many Multi Core Platforms written by William Fornaciari and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-23 with Technology & Engineering categories.


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-dependable heterogeneous 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



Stochastic Process Variation In Deep Submicron Cmos


Stochastic Process Variation In Deep Submicron Cmos
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Author : Amir Zjajo
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-19

Stochastic Process Variation In Deep Submicron Cmos written by Amir Zjajo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-19 with Technology & Engineering categories.


One of the most notable features of nanometer scale CMOS technology is the increasing magnitude of variability of the key device parameters affecting performance of integrated circuits. The growth of variability can be attributed to multiple factors, including the difficulty of manufacturing control, the emergence of new systematic variation-generating mechanisms, and most importantly, the increase in atomic-scale randomness, where device operation must be described as a stochastic process. In addition to wide-sense stationary stochastic device variability and temperature variation, existence of non-stationary stochastic electrical noise associated with fundamental processes in integrated-circuit devices represents an elementary limit on the performance of electronic circuits. In an attempt to address these issues, Stochastic Process Variation in Deep-Submicron CMOS: Circuits and Algorithms offers unique combination of mathematical treatment of random process variation, electrical noise and temperature and necessary circuit realizations for on-chip monitoring and performance calibration. The associated problems are addressed at various abstraction levels, i.e. circuit level, architecture level and system level. It therefore provides a broad view on the various solutions that have to be used and their possible combination in very effective complementary techniques for both analog/mixed-signal and digital circuits. The feasibility of the described algorithms and built-in circuitry has been verified by measurements from the silicon prototypes fabricated in standard 90 nm and 65 nm CMOS technology.



Computer Information Systems And Industrial Management


Computer Information Systems And Industrial Management
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Author : Khalid Saeed
language : en
Publisher: Springer
Release Date : 2014-10-25

Computer Information Systems And Industrial Management written by Khalid Saeed and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-25 with Computers categories.


This book constitutes the proceedings of the 13th IFIP TC 8 International Conference on Computer Information Systems and Industrial Management, CISIM 2014, held in Ho Chi Minh City, Vietnam, in November 2014. The 60 paper presented in this volume were carefully reviewed and selected from 98 submissions. They are organized in topical sections named: algorithms; biometrics and biometrics applications; data analysis and information retrieval; industrial management and other applications; modelling and optimization; networking; pattern recognition and image processing; and various aspects of computer security.



Cloud Based Multi Modal Information Analytics


Cloud Based Multi Modal Information Analytics
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Author : Tanushri Kaniyar
language : en
Publisher: Educohack Press
Release Date : 2025-02-20

Cloud Based Multi Modal Information Analytics written by Tanushri Kaniyar and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.


"Cloud-Based Multi-Modal Information Analytics" is a groundbreaking book that explores the intersection of cloud computing and multi-modal data analysis. Authored by leading experts, it delves into extracting insights from diverse data types, including text, images, videos, and sensor data stored and processed in cloud environments. The book begins by laying a strong foundation in cloud computing principles, explaining key concepts like scalability, elasticity, and virtualization. It then discusses various techniques for processing and analyzing multi-modal data, highlighting the challenges and opportunities posed by today's vast amounts of heterogeneous data. Readers are guided through advanced analytics methodologies, machine learning algorithms, and data visualization techniques tailored for multi-modal data. Case studies and real-world examples show how cloud-based multi-modal information analytics can revolutionize industries such as healthcare, finance, transportation, and entertainment. The book also addresses the ethical and privacy implications of collecting and analyzing multi-modal data, encouraging critical reflection on responsible technology use. With comprehensive coverage and practical insights, "Cloud-Based Multi-Modal Information Analytics" is an indispensable resource for researchers, practitioners, and students interested in leveraging cloud computing to extract actionable intelligence from diverse data sources.



The Impact Of The Energy Dependency On Critical Infrastructure Protection


The Impact Of The Energy Dependency On Critical Infrastructure Protection
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Author : Tünde Anna Kovács
language : en
Publisher: Springer Nature
Release Date : 2025-03-05

The Impact Of The Energy Dependency On Critical Infrastructure Protection written by Tünde Anna Kovács and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Science categories.


This book presents cutting-edge research on the impact of energy dependence and strategies to mitigate it. As a crucial component of critical infrastructure, energy security is a top priority for nations worldwide. The protection of this infrastructure, along with the latest research tools and methodologies, is of significant interest to both policymakers and industry leaders. The book delves into two primary areas of research: cybersecurity and physical security, summarizing the latest findings in these critical fields. The papers in this volume offer valuable insights for both academic and industrial audiences, addressing the pressing challenges of energy security. Energy is integral to every aspect of our daily lives. Our comfort, as well as our safety, hinges on the uninterrupted supply of energy. Recent global events, particularly the Russian-Ukrainian war, have underscored the vulnerability of nations lacking sufficient energy resources. Europe's energy supply has been severely disrupted by sanctions, highlighting the need for energy resilience. However, this crisis has also accelerated the adoption of renewable energy sources, marking a pivotal shift towards sustainable energy solutions.



Information Technology Consulting Services


Information Technology Consulting Services
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Author : Ron Legarski
language : en
Publisher: SolveForce
Release Date : 2024-08-31

Information Technology Consulting Services written by Ron Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-31 with Computers categories.


Information Technology Consulting Services: Strategies for the Modern Enterprise is an essential guide for business leaders, IT professionals, and consultants seeking to navigate the complexities of the digital age. Authored by Ron Legarski, a seasoned expert in telecommunications and IT services, this book offers a comprehensive exploration of the strategies, tools, and best practices that are critical for success in today’s technology-driven world. As organizations increasingly rely on advanced technologies to maintain a competitive edge, the demand for effective IT consulting has never been greater. This book delves into the core areas of IT consulting, including cloud computing, cybersecurity, data analytics, project management, and digital transformation. Each chapter provides practical insights, real-world case studies, and actionable strategies that readers can apply directly to their own consulting engagements or IT operations. Ron Legarski draws on his extensive experience to illuminate the challenges and opportunities that arise in the field of IT consulting. From understanding client needs and managing complex projects to implementing cutting-edge technologies and ensuring regulatory compliance, this book covers it all. Readers will gain a deep understanding of how to deliver high-impact IT solutions that align with business goals, drive innovation, and enhance operational efficiency. Whether you are an IT consultant, a business executive, or an IT manager, Information Technology Consulting Services: Strategies for the Modern Enterprise equips you with the knowledge and tools to succeed in an increasingly complex and competitive landscape. This book is a must-read for anyone involved in or considering IT consulting, offering a roadmap to achieving excellence in the ever-evolving world of information technology.



Adaptive Techniques For Dynamic Processor Optimization


Adaptive Techniques For Dynamic Processor Optimization
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Author : Alice Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-07-23

Adaptive Techniques For Dynamic Processor Optimization written by Alice Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-23 with Technology & Engineering categories.


The integrated circuit has evolved tremendously in recent years as Moore’s Law has enabled exponentially more devices and functionality to be packed onto a single piece of silicon. In some ways however, these highly integrated circuits, of which microprocessors are the flagship example, have become victims of their own success. Despite dramatic reductions in the switching energy of the transistors, these reductions have kept pace neither with the increased integration levels nor with the higher switching frequencies. In addition, the atomic dimensions being utilized by these highly integrated processors have given rise to much higher levels of random and systematic variation which undercut the gains from process scaling that would otherwise be realized. So these factors—the increasing impact of variation and the struggle to control power consumption—have given rise to a tremendous amount of innovation in the area of adaptive techniques for dynamic processor optimization. The fundamental premise behind adaptive processor design is the recognition that variations in manufacturing and environment cause a statically configured operating point to be far too inefficient. Inefficient designs waste power and performance and will quickly be surpassed by more adaptive designs, just as it happens in the biological realm. Organisms must adapt to survive, and a similar trend is seen with processors – those that are enabled to adapt to their environment, will be far more competitive.