Temperature and Energy Aware Scheduling of Heterogeneous Processors Using Machine Learning PDF Download
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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: Harsh Parikh
Publisher:
ISBN:
Category : Algorithms
Languages : en
Pages : 154
Get Book Here
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: 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: 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: 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: Springer
Publisher:
ISBN: 9781461452256
Category :
Languages : en
Pages : 68
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Book Description
Author: Ashik Ahmed Bhuiyan
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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.
Author: Frank Adelstein
Publisher: McGraw Hill Professional
ISBN: 0071782583
Category : Technology & Engineering
Languages : en
Pages : 427
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Book Description
The authoritative, general reference that has been sorely missing in the field of mobile computing This book teaches all the main topics via the hottest applications in a rapidlygrowing field. "Big picture" explanations of ad hoc networks and service discovery Exercises, projects, and solutions to illustrate core concepts Extensive wireless security methodologies
Author: Muhammad Khurram Bhatti
Publisher: LAP Lambert Academic Publishing
ISBN: 9783846552056
Category :
Languages : en
Pages : 208
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Book Description
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.
Author: Rehab Farouk Abdel-Kader
Publisher:
ISBN:
Category : Computer scheduling
Languages : en
Pages : 113
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Book Description
Author: Vazgen Melikyan
Publisher: Springer Nature
ISBN: 3031507142
Category : Technology & Engineering
Languages : en
Pages : 351
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Book Description
This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between each other up to 128/256/512 Gbps speed. The efficiency of methods has been proven and is described on the examples of practical designs. This will enable readers to use them in similar electronic system designs. The author demonstrates newly developed principles and methods to accelerate communication between ICs, working in non-standard operating conditions, considering signal deviation compensation with linearity self-calibration. The observed circuit types also include but are not limited to mixed-signal, high performance heterogeneous integrated circuits as well as digital cores.
