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Power/energy Use Cases for High Performance Computing

2013
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Release : 2013
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Book Synopsis Power/energy Use Cases for High Performance Computing by :

Download or read book Power/energy Use Cases for High Performance Computing written by . This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: Power and Energy have been identified as a first order challenge for future extreme scale high performance computing (HPC) systems. In practice the breakthroughs will need to be provided by the hardware vendors. But to make the best use of the solutions in an HPC environment, it will likely require periodic tuning by facility operators and software components. This document describes the actions and interactions needed to maximize power resources. It strives to cover the entire operational space in which an HPC system occupies. The descriptions are presented as formal use cases, as documented in the Unified Modeling Language Specification [1]. The document is intended to provide a common understanding to the HPC community of the necessary management and control capabilities. Assuming a common understanding can be achieved, the next step will be to develop a set of Application Programing Interfaces (APIs) to which hardware vendors and software developers could utilize to steer power consumption.

High Performance Computing in Power and Energy Systems

2012-09-07 Technology & Engineering
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Release : 2012-09-07
Genre : Technology & Engineering
Kind : eBook
Book Rating : 82X/5 ( reviews)

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Book Synopsis High Performance Computing in Power and Energy Systems by : Siddhartha Kumar Khaitan

Download or read book High Performance Computing in Power and Energy Systems written by Siddhartha Kumar Khaitan. This book was released on 2012-09-07. Available in PDF, EPUB and Kindle. Book excerpt: The twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.

Energy Efficient High Performance Processors

2018-03-22 Technology & Engineering
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Release : 2018-03-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 544/5 ( reviews)

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Book Synopsis Energy Efficient High Performance Processors by : Jawad Haj-Yahya

Download or read book Energy Efficient High Performance Processors written by Jawad Haj-Yahya. This book was released on 2018-03-22. Available in PDF, EPUB and Kindle. Book excerpt: This book explores energy efficiency techniques for high-performance computing (HPC) systems using power-management methods. Adopting a step-by-step approach, it describes power-management flows, algorithms and mechanism that are employed in modern processors such as Intel Sandy Bridge, Haswell, Skylake and other architectures (e.g. ARM). Further, it includes practical examples and recent studies demonstrating how modem processors dynamically manage wide power ranges, from a few milliwatts in the lowest idle power state, to tens of watts in turbo state. Moreover, the book explains how thermal and power deliveries are managed in the context this huge power range. The book also discusses the different metrics for energy efficiency, presents several methods and applications of the power and energy estimation, and shows how by using innovative power estimation methods and new algorithms modern processors are able to optimize metrics such as power, energy, and performance. Different power estimation tools are presented, including tools that break down the power consumption of modern processors at sub-processor core/thread granularity. The book also investigates software, firmware and hardware coordination methods of reducing power consumption, for example a compiler-assisted power management method to overcome power excursions. Lastly, it examines firmware algorithms for dynamic cache resizing and dynamic voltage and frequency scaling (DVFS) for memory sub-systems.

High Performance Computing. ISC High Performance 2022 International Workshops

2023-01-03 Computers
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Release : 2023-01-03
Genre : Computers
Kind : eBook
Book Rating : 208/5 ( reviews)

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Book Synopsis High Performance Computing. ISC High Performance 2022 International Workshops by : Hartwig Anzt

Download or read book High Performance Computing. ISC High Performance 2022 International Workshops written by Hartwig Anzt. This book was released on 2023-01-03. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the workshops held at the 37th International ISC High Performance 2022 Conference, in Hamburg, Germany, in June 2, 2022. The 27 full papers were included in this book were carefully reviewed and selected from 43 submissions. ISC High Performance 2022 presents the following workshops: Compiler-assisted Correctness Checking and Performance Optimization for HPC HPC on Heterogeneous Hardware (H3) Malleability Techniques Applications in High Performance Computing Fifth Workshop on Interactive High Performance Computing 3rd ISC HPC International Workshop on Monitoring & Operational Data Analytics 6th International Workshop on In Situ Visualization 17th Workshop on Virtualization in High Performance Cloud Computing Chapter “Compiler-Assisted Instrumentation Selection for Large-Scale C++ Codes” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. /div

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

2016
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Release : 2016
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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.

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