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Analysis of Application Power and Schedule Composition in a High Performance Computing Environment

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Release : 2016
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Kind : eBook
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Book Synopsis Analysis of Application Power and Schedule Composition in a High Performance Computing Environment by :

Download or read book Analysis of Application Power and Schedule Composition in a High Performance Computing Environment written by . This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt: As the capacity of high performance computing (HPC) systems continues to grow, small changes in energy management have the potential to produce significant energy savings. In this paper, we employ an extensive informatics system for aggregating and analyzing real-time performance and power use data to evaluate energy footprints of jobs running in an HPC data center. We look at the effects of algorithmic choices for a given job on the resulting energy footprints, and analyze application-specific power consumption, and summarize average power use in the aggregate. All of these views reveal meaningful power variance between classes of applications as well as chosen methods for a given job. Using these data, we discuss energy-aware cost-saving strategies based on reordering the HPC job schedule. Using historical job and power data, we present a hypothetical job schedule reordering that: (1) reduces the facility's peak power draw and (2) manages power in conjunction with a large-scale photovoltaic array. Lastly, we leverage this data to understand the practical limits on predicting key power use metrics at the time of submission.

Fair Scheduling in High Performance Computing Environments

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Release : 2019-04-17
Genre : Computers
Kind : eBook
Book Rating : 689/5 ( reviews)

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Book Synopsis Fair Scheduling in High Performance Computing Environments by : Art Sedighi

Download or read book Fair Scheduling in High Performance Computing Environments written by Art Sedighi. This book was released on 2019-04-17. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a new scheduler to fairly and efficiently distribute system resources to many users of varying usage patterns compete for them in large shared computing environments. The Rawlsian Fair scheduler developed for this effort is shown to boost performance while reducing delay in high performance computing workloads of certain types including the following four types examined in this book: i. Class A – similar but complementary workloads ii. Class B – similar but steady vs intermittent workloads iii. Class C – Large vs small workloads iv. Class D – Large vs noise-like workloads This new scheduler achieves short-term fairness for small timescale demanding rapid response to varying workloads and usage profiles. Rawlsian Fair scheduler is shown to consistently benefit workload Classes C and D while it only benefits Classes A and B workloads where they become disproportionate as the number of users increases. A simulation framework, dSim, simulates the new Rawlsian Fair scheduling mechanism. The dSim helps achieve instantaneous fairness in High Performance Computing environments, effective utilization of computing resources, and user satisfaction through the Rawlsian Fair scheduler.

Analyzing and Evaluating the Resilience of Scheduling Scientific Applications on High Performance Computing Systems Using a Simulation-based Methodology

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Release : 2015
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Book Synopsis Analyzing and Evaluating the Resilience of Scheduling Scientific Applications on High Performance Computing Systems Using a Simulation-based Methodology by : Nitin Sukhija

Download or read book Analyzing and Evaluating the Resilience of Scheduling Scientific Applications on High Performance Computing Systems Using a Simulation-based Methodology written by Nitin Sukhija. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: Large scale systems provide a powerful computing platform for solving large and complex scientific applications. However, the inherent complexity, heterogeneity, wide distribution, and dynamism of the computing environments can lead to performance degradation of the scientific applications executing on these computing systems. Load imbalance arising from a variety of sources such as application, algorithmic, and systemic variations is one of the major contributors to their performance degradation. In general, load balancing is achieved via scheduling. Moreover, frequently occurring resource failures drastically affect the execution of applications running on high performance computing systems. Therefore, the study of deploying support for integrated scheduling and fault-tolerance mechanisms for guaranteeing that applications deployed on computing systems are resilient to failures becomes of paramount importance. Recently, several research initiatives have started to address the issue of resilience. However, the major focus of these efforts was geared more toward achieving system level resilience with less emphasis on achieving resilience at the application level. Therefore, it is increasingly important to extend the concept of resilience to the scheduling techniques at the application level for establishing a holistic approach that addresses the performability of these applications on high performance computing systems. This can be achieved by developing a comprehensive modeling framework that can be used to evaluate the resiliency of such techniques on heterogeneous computing systems for assessing the impact of failures as well as workloads in an integrated way. This dissertation presents an experimental methodology based on discrete event simulation for the analysis and the evaluation of the resilience of scheduling scientific applications on high performance computing systems. With the aid of the methodology a wide class of dependencies existing between application and computing system are captured within a deterministic model for quantifying the performance impact expected from changes in application and system characteristics. Ideally, the results obtained by employing the proposed simulation-based performance prediction framework enabled an introspective design and investigation of scheduling heuristics to reason about how to best fully optimize various often antagonistic objectives, such as minimizing application makespan and maximizing reliability.

High Performance Computing

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Author :
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 Scheduling of Parallel Applications on High Performance Computing Platforms

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Release : 2013
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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:

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