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Energy And Time Aware Scheduling For Heterogeneous High Performance Embedded Systems


Energy And Time Aware Scheduling For Heterogeneous High Performance Embedded Systems
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Energy And Time Aware Scheduling For Heterogeneous High Performance Embedded Systems


Energy And Time Aware Scheduling For Heterogeneous High Performance Embedded Systems
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Author : Julius Röder
language : en
Publisher:
Release Date : 2023

Energy And Time Aware Scheduling For Heterogeneous High Performance Embedded Systems written by Julius Röder and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.




Towards Energy Effcient Real Time Computing In Embedded Systems


Towards Energy Effcient Real Time Computing In Embedded Systems
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Author : Ashraf Suyyagh
language : en
Publisher:
Release Date : 2019

Towards Energy Effcient Real Time Computing In Embedded Systems written by Ashraf Suyyagh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.


"Modern embedded real-time systems are increasingly interconnected with a multitude of sensory devices, other embedded systems, and the cloud. The adoption of high-end embedded single core processors and multiprocessors emanates from complex application processing requirements. Timeliness, safety, and deterministic systems are long-standing design and operational requirements of embedded systems. Recently, mobility, energy-efficiency, and heat dissipation are equally crucial design requirements in applications including autonomous mobile robots, wearable devices, and sensor networks. High-end embedded processors employ energy-reduction techniques like Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Management (DPM). An effective energy-management strategy simultaneously exploits hardware- and software-level energy-reduction techniques.Initially, this thesis addresses the issue of energy-reduction on DVFS-capable single core systems with peripheral devices. We consider a system-wide minimization problem where we concurrently consider DVFS and DPM. Given that the frequency to task assignment is an NP-hard problem, we appropriate and adapt two metaheuristics in our approach to frequency assignment; namely the differential evolution and genetic algorithms. We analyze the performance of the metaheuristics given various initial conditions and show in our simulations that our approach yields better results than two well-known heuristics.Further, even though discrete-time simulators are sufficient for analyzing real-time schedule feasibility, they fall short when evaluating energy-efficient scheduling. This is due to incorrect processor modeling (i.e. due to IP rights, complex processor designs) and the inability to capture realistic task behavior. The literature often presents case studies on real hardware to corroborate simulations. However, these approaches are often ambiguous. We propose a methodology that facilitates evaluating real-time systems on real hardware using available embedded benchmarks as system tasks at various system load points. Similar to software simulations, our methodology tackles the issue of examining the system at different utilization points. We build on previous work that estimates task WCET, generates task periods, and assigns task utilizations. The three parameters are interlocked, which limits the flexibility of changing one without affecting the others. We propose a set of efficient algorithms that pair tasks with bounded or discrete periods to meet the total system utilization with minimal relative errors.Finally, we address the issue of energy-efficient scheduling on clustered heterogeneous platforms. We focus on energy-efficient partitioning where task allocation to heterogeneous clusters directly impacts the total system energy. In this thesis, we couple the problem of energy-efficient partitioning on single-ISA heterogeneous platforms with task-aware scheduling. Tasks differ in their instruction mix, cache behavior, memory and I/O access, execution path, and active processing and SoC circuitry. This affects their power demand. We make further use of underlying frequency scaling hardware and sleep states to minimize the system energy. We propose two variants of our Task and Cluster Heterogeneity Aware Partitioning (TCHAP) algorithm targeting ARM big.LITTLE platforms. Based on our methodology for simulation on real hardware, we show that our algorithms achieve between 13% to 23% energy-reduction on average compared to a state-of-the-art schemes." --



Scheduling Parallel Applications On Heterogeneous Distributed Systems


Scheduling Parallel Applications On Heterogeneous Distributed Systems
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Author : Guoqi Xie
language : en
Publisher: Springer
Release Date : 2019-08-06

Scheduling Parallel Applications On Heterogeneous Distributed Systems written by Guoqi Xie and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-06 with Technology & Engineering categories.


This book focuses on scheduling algorithms for parallel applications on heterogeneous distributed systems, and addresses key scheduling requirements – high performance, low energy consumption, real time, and high reliability – from the perspectives of both theory and engineering practice. Further, it examines two typical application cases in automotive cyber-physical systems and cloud systems in detail, and discusses scheduling challenges in connection with resource costs, reliability and low energy. The book offers a comprehensive and systematic treatment of high-performance, low energy consumption, and high reliability issues on heterogeneous distributed systems, making it a particularly valuable resource for researchers, engineers and graduate students in the fields of computer science and engineering, information science and engineering, and automotive engineering, etc. The wealth of motivational examples with figures and tables make it easy to understand.



Energy Aware Scheduling For Real Time Embedded Systems


Energy Aware Scheduling For Real Time Embedded Systems
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Author : Muhammad Khurram Bhatti
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012-04

Energy Aware Scheduling For Real Time Embedded Systems written by Muhammad Khurram Bhatti and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04 with categories.


Real-time embedded systems have become ubiquitous in our daily life. Due to their diversified usage, the research on these systems has confronted with many emerging challenges. One such challenge is to reduce power and energy consumption while maintaining assurance that timing constraints will be met. Power densities in microprocessors are almost doubled every three years. As energy is power integrated over time, supplying the required energy may become prohibitively expensive, or even technologically infeasible. This is particularly difficult in portable systems that heavily rely on batteries for energy, and will become even more critical as battery capacities are increasing at a much slower rate than power consumption. This book presents four contributions that are based on the thesis that energy-efficiency of Real-time Embedded Systems and scheduling are closely related problems and therefore, should be tackled together for optimal results. Contributions of this book are: 1) Two-level Hierarchical Scheduling Algorithm for Multiprocessor Systems, 2) Assertive Dynamic Power Management Scheme, 3) Deterministic Stretch-to-Fit DVFS Technique, and 4) Hybrid Power Management Scheme.



Energy Aware Scheduling On Multiprocessor Platforms


Energy Aware Scheduling On Multiprocessor Platforms
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Author : Dawei Li
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-19

Energy Aware Scheduling On Multiprocessor Platforms written by Dawei Li 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 2012-10-19 with Technology & Engineering categories.


Multiprocessor platforms play important roles in modern computing systems, and appear in various applications, ranging from energy-limited hand-held devices to large data centers. As the performance requirements increase, energy-consumption in these systems also increases significantly. Dynamic Voltage and Frequency Scaling (DVFS), which allows processors to dynamically adjust the supply voltage and the clock frequency to operate on different power/energy levels, is considered an effective way to achieve the goal of energy-saving. This book surveys existing works that have been on energy-aware task scheduling on DVFS multiprocessor platforms. Energy-aware scheduling problems are intrinsically optimization problems, the formulations of which greatly depend on the platform and task models under consideration. Thus, Energy-aware Scheduling on Multiprocessor Platforms covers current research on this topic and classifies existing works according to two key standards, namely, homogeneity/heterogeneity of multiprocessor platforms and the task types considered. Under this classification, other sub-issues are also included, such as, slack reclamation, fixed/dynamic priority scheduling, partition-based/global scheduling, and application-specific power consumption, etc.



Energy Aware Real Time Scheduling On Heterogeneous And Homogeneous Platforms In The Era Of Parallel Computing


Energy Aware Real Time Scheduling On Heterogeneous And Homogeneous Platforms In The Era Of Parallel Computing
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Author : Ashik Ahmed Bhuiyan
language : en
Publisher:
Release Date : 2021

Energy Aware Real Time Scheduling On Heterogeneous And Homogeneous Platforms In The Era Of Parallel Computing written by Ashik Ahmed Bhuiyan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


Multi-core processors increasingly appear as an enabling platform for embedded systems, e.g., mobile phones, tablets, computerized numerical controls, etc. The parallel task model, where a task can execute on multiple cores simultaneously, can efficiently exploit the multi-core platform’s computational ability. Many computation-intensive systems (e.g., self-driving cars) that demand stringent timing requirements often evolve in the form of parallel tasks. Several real-time embedded system applications demand predictable timing behavior and satisfy other system constraints, such as energy consumption.



High Performance Computing Hipc 2007


High Performance Computing Hipc 2007
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Author : Srinivas Aluru
language : en
Publisher: Springer
Release Date : 2008-01-22

High Performance Computing Hipc 2007 written by Srinivas Aluru and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-22 with Computers categories.


This book constitutes the refereed proceedings of the 14th International Conference on High-Performance Computing, HiPC 2007, held in Goa, India, in December 2007. The 53 revised full papers presented together with the abstracts of five keynote talks were carefully reviewed and selected from 253 submissions. The papers are organized in topical sections on a broad range of applications including I/O and FPGAs, and microarchitecture and multiprocessor architecture.



High Performance Computing And Communications


High Performance Computing And Communications
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Author : Ronald Perrott
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-17

High Performance Computing And Communications written by Ronald Perrott 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 2007-09-17 with Computers categories.


This book constitutes the refereed proceedings of the Third International Conference on High Performance Computing and Communications, HPCC 2007, held in Houston, USA, September 26-28, 2007. The 75 revised full papers presented were carefully reviewed and selected from 272 submissions. The papers address all current issues of parallel and distributed systems and high performance computing and communication as there are: networking protocols, routing, and algorithms, languages and compilers for HPC, parallel and distributed architectures and algorithms, embedded systems, wireless, mobile and pervasive computing, Web services and internet computing, peer-to-peer computing, grid and cluster computing, reliability, fault-tolerance, and security, performance evaluation and measurement, tools and environments for software development, distributed systems and applications, database applications and data mining, biological/molecular computing, collaborative and cooperative environments, and programming interfaces for parallel systems.



Real Time Embedded Systems


Real Time Embedded Systems
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Author : Christos Koulamas
language : en
Publisher: MDPI
Release Date : 2019-01-10

Real Time Embedded Systems written by Christos Koulamas and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-10 with Electrical engineering. Electronics. Nuclear engineering categories.


This book is a printed edition of the Special Issue "Real-Time Embedded Systems" that was published in Electronics



Quality Of Service Aware Design And Management Of Embedded Mixed Criticality Systems


Quality Of Service Aware Design And Management Of Embedded Mixed Criticality Systems
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Author : Behnaz Ranjbar
language : en
Publisher: Springer Nature
Release Date : 2023-10-28

Quality Of Service Aware Design And Management Of Embedded Mixed Criticality Systems written by Behnaz Ranjbar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-28 with Technology & Engineering categories.


This book addresses the challenges associated with efficient Mixed-Criticality (MC) system design. We focus on application analysis through execution time analysis and task scheduling analysis in order to execute more low-criticality tasks in the system, i.e., improving the Quality-of-Service (QoS), while guaranteeing the correct execution of high-criticality tasks. Further, this book addresses the challenge of enhancing QoS using parallelism in multi-processor hardware platforms.