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Author: Dawei Li
Publisher: Springer Science & Business Media
ISBN: 1461452244
Category : Technology & Engineering
Languages : en
Pages : 67
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Book Description
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.
Author: Dawei Li
Publisher: Springer Science & Business Media
ISBN: 1461452244
Category : Technology & Engineering
Languages : en
Pages : 67
Get Book Here
Book Description
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.
Author: Dawei Li
Publisher: Springer Science & Business Media
ISBN: 1461452236
Category : Business & Economics
Languages : en
Pages : 67
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Book Description
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.
Author: Alon Naveh
Publisher:
ISBN:
Category :
Languages : en
Pages : 37
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Book Description
Author: Rashadul Kabir
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 178
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Book Description
"With widespread growth of the internet, data centers have been trying to incorporate faster and more powerful processors to meet the high data processing requirements. Faster and more powerful processors have resulted in higher heat dissipation and energy consumption, which have had detrimental effects on operating costs. High heat dissipation, however, also affects the reliability of processing units. Previous research on scheduling algorithms of processors have either focused on minimal energy consumption or minimal heat dissipation, but never a combination of both. Hence, the focus of this research has been to schedule tasks in a heterogeneous environment with Dynamic Voltage Scaling (DVS) enabled processors to minimize execution time, energy consumption and heat dissipation. Our proposed algorithm, Temperature and Energy aware Dynamic Level Scheduling (TEDLS), favors the cooler and more energy efficient processors by introducing a cost function that affects the scheduling decisions." -- leaf v.
Author: Harsh Parikh
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 154
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Book Description
"In the past 20-some years, the entire lifetime of Data Center, the hymn computer engineers and end users have chanted in harmony has been "faster. . .smaller. . . cheaper. . . lower power. . . ," with the most recently added "and lower temperature. . ." significantly complicating the whole scenario. The trade offs among performance, complexity, cost, power and temperature have created exciting challenges and opportunities. All modern data centers face the widespread problem "High performance without trading energy, power and most important temperature". Previous research on scheduling algorithms of processors have focused on static implementation to minimize energy consumption and heat dissipation, but never used Machine Learning to dynamically apply the algorithm. We use Naive Bayesian Classifiers (NBCs) to select the processor combination for the Temperature and Energy Aware Dynamic Level Scheduling algorithm that satisfies a particular user defined condition such as a deadline, energy or temperature budget. Our simulation results exhibit significant energy and temperature savings at a reasonable increase in overall execution time, the learning algorithm selects the desired processors significantly faster than random selection." -- page iv.
Author: Venkateswaran Shekar
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 214
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Book Description
This thesis focuses on scheduling tasks in a heterogeneous environment with DVS enabled processors to minimize both execution time and energy consumed. The proposed algorithm, called Energy Dynamic Level Scheduling (EDLS), favors low-energy consuming processors by introducing a cost factor that affects scheduling decisions.
Author: Springer
Publisher:
ISBN: 9781461452256
Category :
Languages : en
Pages : 68
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Book Description
Author:
Publisher:
ISBN: 9781728171364
Category :
Languages : en
Pages :
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Book Description
Author: Guoqi Xie
Publisher: Springer
ISBN: 9811365571
Category : Technology & Engineering
Languages : en
Pages : 257
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Book Description
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.
Author: Huang Huang
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659371851
Category :
Languages : en
Pages : 108
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Book Description
We have been enjoying tremendous benefits thanks to the revolutionary advancement of computing systems, driven by the remarkable semiconductor technology scaling and the advanced processor architecture. However, the exponentially increased transistor density has directly led to increased power consumption and elevated system temperature. The power and thermal issues have posed enormous challenges and threaten to slow down the continuous evolvement of computer technology. Effective power/thermal-aware design techniques are urgently demanded at all design abstraction levels. In this book, we present our research efforts to employ real-time scheduling techniques to solve the resource-constrained power/thermal-aware, design-optimization problems. The novelty of this work is that we integrate the cutting-edge research on power and thermal at the circuit and architectural-level into a set of accurate yet simplified system-level models, and are able to conduct system-level analysis and design based on these models. The theoretical study in this work serves as a solid foundation for the guidance of the power/thermal-aware scheduling algorithms development in practical computing systems.
