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Energy-aware Scheduling of Parallel Applications on High Performance Computing Platforms

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Release : 2013
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Kind : eBook
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Book Synopsis Energy-aware Scheduling of Parallel Applications on High Performance Computing Platforms by : Ahmed AbdElHai ElRefae Ebaid

Download or read book Energy-aware Scheduling of Parallel Applications on High Performance Computing Platforms written by Ahmed AbdElHai ElRefae Ebaid. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt:

Energy-aware Scheduling on Multiprocessor Platforms

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Release : 2012-10-19
Genre : Technology & Engineering
Kind : eBook
Book Rating : 244/5 ( reviews)

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Book Synopsis Energy-aware Scheduling on Multiprocessor Platforms by : Dawei Li

Download or read book Energy-aware Scheduling on Multiprocessor Platforms written by Dawei Li. This book was released on 2012-10-19. Available in PDF, EPUB and Kindle. Book excerpt: 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 Scheduling on Multiprocessor Platforms

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Author :
Release : 2012-10-20
Genre : Business & Economics
Kind : eBook
Book Rating : 236/5 ( reviews)

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Book Synopsis Energy-aware Scheduling on Multiprocessor Platforms by : Dawei Li

Download or read book Energy-aware Scheduling on Multiprocessor Platforms written by Dawei Li. This book was released on 2012-10-20. Available in PDF, EPUB and Kindle. Book excerpt: 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.

High Performance Computing

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Release : 2023-09-25
Genre : Computers
Kind : eBook
Book Rating : 438/5 ( reviews)

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Book Synopsis High Performance Computing by : Amanda Bienz

Download or read book High Performance Computing written by Amanda Bienz. This book was released on 2023-09-25. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the papers of several workshops which were held in conjunction with the 38th International Conference on High Performance Computing, ISC High Performance 2023, held in Hamburg, Germany, during May 21–25, 2023. The 49 revised full papers presented in this book were carefully reviewed and selected from 70 submissions. ISC High Performance 2023 presents the following workshops: ​2nd International Workshop on Malleability Techniques Applications in High-Performance Computing (HPCMALL) 18th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 23) HPC I/O in the Data Center (HPC IODC) Workshop on Converged Computing of Cloud, HPC, and Edge (WOCC’23) 7th International Workshop on In Situ Visualization (WOIV’23) Workshop on Monitoring and Operational Data Analytics (MODA23) 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures First International Workshop on RISC-V for HPC Second Combined Workshop on Interactive and Urgent Supercomputing (CWIUS) HPC on Heterogeneous Hardware (H3)

Energy-aware Real-time Scheduling on Heterogeneous and Homogeneous Platforms in the Era of Parallel Computing

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Release : 2021
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Book Synopsis Energy-aware Real-time Scheduling on Heterogeneous and Homogeneous Platforms in the Era of Parallel Computing by : Ashik Ahmed Bhuiyan

Download or read book Energy-aware Real-time Scheduling on Heterogeneous and Homogeneous Platforms in the Era of Parallel Computing written by Ashik Ahmed Bhuiyan. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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