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Contributions for Resource and Job Management in High Performance Computing

Author : Yiannis Georgiou (informaticien).)
Publisher :
Page : 236 pages
File Size : 22,2 MB
Release : 2010
Category :
ISBN :

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High Performance Computing is characterized by the latest technological evolutions in computing architectures and by the increasing needs of applications for computing power. A particular middleware called Resource and Job Management System (RJMS), is responsible for delivering computing power to applications. The RJMS plays an important role in HPC since it has a strategic place in the whole software stack because it stands between the above two layers. However, the latest evolutions in hardware and applications layers have provided new levels of complexities to this middleware. Issues like scalability, management of topological constraints, energy efficiency and fault tolerance have to be particularly considered, among others, in order to provide a better system exploitation from both the system and user point of view. This dissertation provides a state of the art upon the fundamental concepts and research issues of Resources and Jobs Management Systems. It provides a multi-level comparison (concepts, functionalities, performance) of some Resource and Jobs Management Systems in High Performance Computing. An important metric to evaluate the work of a RJMS on a platform is the observed system utilization. However, studies and logs of production platforms show that HPC systems in general suffer of significant un-utilization rates. Our study deals with these clusters' un-utilization periods by proposing methods to aggregate otherwise un-utilized resources for the benefit of the system or the application. More particularly this thesis explores RJMS level mechanisms: 1) for increasing the jobs valuable computation rates in the high volatile environments of a lightweight grid context, 2) for improving system utilization with malleability techniques and 3) providing energy efficient system management through the exploitation of idle computing machines. The experimentation and evaluation in this type of contexts provide important complexities due to the inter-dependency of multiple parameters that have to be taken into control. In this thesis we have developed a methodology based upon real-scale controlled experimentation with submission of synthetic or real workload traces.

Large-scale Distributed Systems and Energy Efficiency

Author : Jean-Marc Pierson
Publisher : John Wiley & Sons
Page : 335 pages
File Size : 37,53 MB
Release : 2015-04-06
Category : Computers
ISBN : 1118981111

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Addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks With concerns about global energy consumption at an all-time high, improving computer networks energy efficiency is becoming an increasingly important topic. Large-Scale Distributed Systems and Energy Efficiency: A Holistic View addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks. After an introductory overview of the energy demands of current Information and Communications Technology (ICT), individual chapters offer in-depth analyses of such topics as cloud computing, green networking (both wired and wireless), mobile computing, power modeling, the rise of green data centers and high-performance computing, resource allocation, and energy efficiency in peer-to-peer (P2P) computing networks. Discusses measurement and modeling of the energy consumption method Includes methods for energy consumption reduction in diverse computing environments Features a variety of case studies and examples of energy reduction and assessment Timely and important, Large-Scale Distributed Systems and Energy Efficiency is an invaluable resource for ways of increasing the energy efficiency of computing systems and networks while simultaneously reducing the carbon footprint.

High Performance Computing - HiPC 2004

Author : Luc Bougé
Publisher : Springer Science & Business Media
Page : 553 pages
File Size : 32,96 MB
Release : 2004-12-08
Category : Computers
ISBN : 3540241299

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This book constitutes the refereed proceedings of the 11th International Conference on High-Performance Computing, HiPC 2004, held in Bangalore, India in December 2004. The 48 revised full papers presented were carefully reviewed and selected from 253 submissions. The papers are organized in topical sections on wireless network management, compilers and runtime systems, high performance scientific applications, peer-to-peer and storage systems, high performance processors and routers, grids and storage systems, energy-aware and high-performance networking, and distributed algorithms.

Handbook on Data Centers

Author : Samee U. Khan
Publisher : Springer
Page : 1309 pages
File Size : 21,72 MB
Release : 2015-03-16
Category : Computers
ISBN : 1493920928

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This handbook offers a comprehensive review of the state-of-the-art research achievements in the field of data centers. Contributions from international, leading researchers and scholars offer topics in cloud computing, virtualization in data centers, energy efficient data centers, and next generation data center architecture. It also comprises current research trends in emerging areas, such as data security, data protection management, and network resource management in data centers. Specific attention is devoted to industry needs associated with the challenges faced by data centers, such as various power, cooling, floor space, and associated environmental health and safety issues, while still working to support growth without disrupting quality of service. The contributions cut across various IT data technology domains as a single source to discuss the interdependencies that need to be supported to enable a virtualized, next-generation, energy efficient, economical, and environmentally friendly data center. This book appeals to a broad spectrum of readers, including server, storage, networking, database, and applications analysts, administrators, and architects. It is intended for those seeking to gain a stronger grasp on data center networks: the fundamental protocol used by the applications and the network, the typical network technologies, and their design aspects. The Handbook of Data Centers is a leading reference on design and implementation for planning, implementing, and operating data center networks.

Network and Parallel Computing

Author : Guang R. Gao
Publisher : Springer
Page : 216 pages
File Size : 43,82 MB
Release : 2016-10-19
Category : Computers
ISBN : 331947099X

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This book constitutes the proceedings of the 13th IFIP WG 10.3International Conference on Network and Parallel Computing, NPC 2016,held in Xi'an, China, in October 2016. The 17 full papers presented were carefully reviewed and selected from 99 submissions. They are organized in the following topical sections; memory: non-volatile, solid state drives, hybrid systems; resilience and reliability; scheduling and load-balancing; heterogeneous systems; data processing and big data; and algorithms and computational models.

High Performance Computing

Author : Ponnuswamy Sadayappan
Publisher : Springer Nature
Page : 564 pages
File Size : 16,73 MB
Release : 2020-06-15
Category : Computers
ISBN : 3030507432

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This book constitutes the refereed proceedings of the 35th International Conference on High Performance Computing, ISC High Performance 2020, held in Frankfurt/Main, Germany, in June 2020.* The 27 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers cover a broad range of topics such as architectures, networks & infrastructure; artificial intelligence and machine learning; data, storage & visualization; emerging technologies; HPC algorithms; HPC applications; performance modeling & measurement; programming models & systems software. *The conference was held virtually due to the COVID-19 pandemic. Chapters "Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) Streaming-Aggregation Hardware Design and Evaluation", "Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization", "Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology", "Footprint-Aware Power Capping for Hybrid Memory Based Systems", and "Pattern-Aware Staging for Hybrid Memory Systems" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Resource Management Techniques Aware of Interference Among High-performance Computing Applications

Author : Ana Jokanović
Publisher :
Page : 144 pages
File Size : 47,10 MB
Release : 2015
Category :
ISBN :

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Network interference of nearby jobs has been recently identified as the dominant reason for the high performance variability of parallel applications running on High Performance Computing (HPC) systems. Typically, HPC systems are dynamic with multiple jobs coming and leaving in an unpredictable fashion, sharing simultaneously the system interconnection network. In such environment contention for network resources is causing random stalls in the progress of application execution degrading application's performance. Eliminating interactions between jobs is the key for guaranteeing both high performance and performance predictability of applications. These interactions are determined by the job location in the system. Upon arriving to the system, the job is allocated the computing and network resources by resource managers. Based on the job size requirements, the job scheduler finds a set of available computing nodes. In addition, the subnet manager determines the allocation of the network resources such as paths between nodes, virtual lanes, link bandwidth. Typically, resource managers are mainly focused on increasing utilization of the resources while neglecting job interactions. In this thesis, we propose techniques for both, job scheduler and subnet manager, able to mitigate job interactions: 1) a job scheduling policy that reduces the node fragmentation in the system, and 2) a quality-of-service (QoS) policy based on a characterization of job's network load; this policy is relaying on the virtual lanes mechanism provided by modern interconnection network (e.g. InfiniBand). In order to evaluate our job scheduling policy we use a simulator developed for this thesis that takes as an input the job scheduler log from a production HPC system. This simulator performs the node allocation for the jobs from the log. The proposed QoS policy is evaluated using a flit-level network simulator that is able to replay multiple traces from real executions of MPI applications. Experimental results show that the proposed job scheduling policy leads to few jobs sharing network resources and thus having fewer job's interactions while the QoS policy is able to effectively reduce the degradation from the remaining job's interactions. These two software techniques are complementary and could be used together without additional hardware.

High Performance Computing - HiPC 2008

Author : P. Sadayappan
Publisher : Springer
Page : 619 pages
File Size : 12,93 MB
Release : 2008-12-17
Category : Computers
ISBN : 3540898948

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This book constitutes the refereed proceedings of the 15th International Conference on High-Performance Computing, HiPC 2008, held in Bangalore, India, in December 2008. The 46 revised full papers presented together with the abstracts of 5 keynote talks were carefully reviewed and selected from 317 submissions. The papers are organized in topical sections on applications performance optimizazion, parallel algorithms and applications, scheduling and resource management, sensor networks, energy-aware computing, distributed algorithms, communication networks as well as architecture.

High Performance Computing Systems and Applications

Author : Robert D. Kent
Publisher : Springer Science & Business Media
Page : 337 pages
File Size : 26,71 MB
Release : 2012-12-06
Category : Computers
ISBN : 1461502888

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High Performance Computing Systems and Applications contains fully refereed papers from the 15th Annual Symposium on High Performance Computing. These papers cover both fundamental and applied topics in HPC: parallel algorithms, distributed systems and architectures, distributed memory and performance, high level applications, tools and solvers, numerical methods and simulation, advanced computing systems, and the emerging area of computational grids. High Performance Computing Systems and Applications is suitable as a secondary text for graduate level courses, and as a reference for researchers and practitioners in industry.