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High Performance Scientific Computing Using Distributed Infrastructures


High Performance Scientific Computing Using Distributed Infrastructures
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High Performance Scientific Computing Using Distributed Infrastructures


High Performance Scientific Computing Using Distributed Infrastructures
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Author : Leonardo Merola
language : en
Publisher: World Scientific
Release Date : 2016-11-28

High Performance Scientific Computing Using Distributed Infrastructures written by Leonardo Merola and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-28 with Computers categories.


This book aims to provide a deep look into Italian actions taken in some fields of science and high performance computing (HPC), and the Italian effort to bridge the HPC gap with respect to Europe. The Italian PON ReCaS Project is written for graduate readers and professionals in the field of high performance computing. It presents and discusses innovative and important technological solutions, and describes interesting results in various fields of application.ReCaS stands for 'Rete di Calcolo per SuperB e altre applicazioni' and is a computing network infrastructure in Southern Italy devoted to scientific and non-scientific applications within the vision of a common European infrastructure for computing, storage and network. The ReCaS project is part of the 2007-2013 European Union strategy, and was funded by the Italian Ministry of Research and Education (MIUR) for the development and enhancement of a distributed computing infrastructure of the Grid/Cloud type over the four EU 'Convergence' regions in Southern Italy: Campania, Puglia and Sicily and Calabria.The network will be open and accessible to all researchers, public and private, and will be characterized by unprecedented computing power and storage capacity. Posted in the European Grid Infrastructure EGI, ReCaS is also an opportunity to the countries of the Mediterranean area and extends the potential of the current network.



High Performance Scientific Computing Using Distributed Infrastructures


High Performance Scientific Computing Using Distributed Infrastructures
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Author : Giuliano Laccetti
language : en
Publisher:
Release Date : 2016

High Performance Scientific Computing Using Distributed Infrastructures written by Giuliano Laccetti and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Computer networks categories.


"Living Innovation: Competing in the 21st Century Access Economy explores how the digital revolution has empowered customers, and how organizations have to innovate to gain a deeper understanding of user needs. Stepping away from the traditional mindset of products being the foremost concern of an organization, this book elaborates on how service value and the management of customer relationships are some of the new goals of an experience-driven economy. The ten chapters of this book provide insights and different perspectives into this new economy, including the consequences of the shift away from a product-based mindset, the role of the physical space as a stimulator of innovation and the keys to making service innovation a success."--Publisher's website



High Performance Scientific Computing Using Distributed Infrastructures


High Performance Scientific Computing Using Distributed Infrastructures
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Author : Giuliano Laccetti
language : en
Publisher: World Scientific Publishing Company
Release Date : 2017

High Performance Scientific Computing Using Distributed Infrastructures written by Giuliano Laccetti and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computer networks categories.


This book aims to provide a deep look into Italian actions taken in some fields of science and high performance computing (HPC), and the Italian effort to bridge the HPC gap with respect to Europe. The Italian PON ReCaS Project is written for graduate readers and professionals in the field of high performance computing. It presents and discusses innovative and important technological solutions, and describes interesting results in various fields of application. ReCaS stands for "Rete di Calcolo per SuperB e altre applicazioni" and is a computing network infrastructure in Southern Italy devoted to scientific and non-scientific applications within the vision of a common European infrastructure for computing, storage and network. The ReCaS project is part of the 2007-2013 European Union strategy, and was funded by the Italian Ministry of Research and Education (MIUR) for the development and enhancement of a distributed computing infrastructure of the Grid/Cloud type over the four EU 'Convergence' regions in Southern Italy: Campania, Puglia and Sicily and Calabria. The network will be open and accessible to all researchers, public and private, and will be characterized by unprecedented computing power and storage capacity. Posted in the European Grid Infrastructure EGI, ReCaS is also an opportunity to the countries of the Mediterranean area and extends the potential of the current network.



High Performance Computing


High Performance Computing
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Author : Laurence T. Yang
language : en
Publisher: John Wiley & Sons
Release Date : 2005-11-18

High Performance Computing written by Laurence T. Yang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-18 with Computers categories.


The state of the art of high-performance computing Prominent researchers from around the world have gathered to present the state-of-the-art techniques and innovations in high-performance computing (HPC), including: * Programming models for parallel computing: graph-oriented programming (GOP), OpenMP, the stages and transformation (SAT) approach, the bulk-synchronous parallel (BSP) model, Message Passing Interface (MPI), and Cilk * Architectural and system support, featuring the code tiling compiler technique, the MigThread application-level migration and checkpointing package, the new prefetching scheme of atomicity, a new "receiver makes right" data conversion method, and lessons learned from applying reconfigurable computing to HPC * Scheduling and resource management issues with heterogeneous systems, bus saturation effects on SMPs, genetic algorithms for distributed computing, and novel task-scheduling algorithms * Clusters and grid computing: design requirements, grid middleware, distributed virtual machines, data grid services and performance-boosting techniques, security issues, and open issues * Peer-to-peer computing (P2P) including the proposed search mechanism of hybrid periodical flooding (HPF) and routing protocols for improved routing performance * Wireless and mobile computing, featuring discussions of implementing the Gateway Location Register (GLR) concept in 3G cellular networks, maximizing network longevity, and comparisons of QoS-aware scatternet scheduling algorithms * High-performance applications including partitioners, running Bag-of-Tasks applications on grids, using low-cost clusters to meet high-demand applications, and advanced convergent architectures and protocols High-Performance Computing: Paradigm and Infrastructure is an invaluable compendium for engineers, IT professionals, and researchers and students of computer science and applied mathematics.



High Speed And Large Scale Scientific Computing


High Speed And Large Scale Scientific Computing
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Author : Wolfgang Gentzsch
language : en
Publisher: IOS Press
Release Date : 2009

High Speed And Large Scale Scientific Computing written by Wolfgang Gentzsch and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.


Summary: This work combines selected papers from a July 2008 workshop held in Cetraro, Italy, with invited papers by international contributors. Material is in sections on algorithms and scheduling, architectures, GRID technologies, cloud technologies, information processing and applications, and HPC and GRID infrastructures for e-science. B&w maps, images, and screenshots are used to illustrate topics such as nondeterministic coordination using S-Net, cloud computing for on-demand grid resource provisioning, grid computing for financial applications, and the evolution of research and education networks and their essential role in modern science. There is no subject index. The book's readership includes computer scientists, IT engineers, and managers interested in the future development of grids, clouds, and large-scale computing. Gentzsch is affiliated with the DEISA Project and Open Grid Forum, Germany.



Implementing Parallel And Distributed Systems


Implementing Parallel And Distributed Systems
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Author : Alireza Poshtkohi
language : en
Publisher: CRC Press
Release Date : 2023-04-13

Implementing Parallel And Distributed Systems written by Alireza Poshtkohi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Computers categories.


Parallel and distributed systems (PADS) have evolved from the early days of computational science and supercomputers to a wide range of novel computing paradigms, each of which is exploited to tackle specific problems or application needs, including distributed systems, parallel computing, and cluster computing, generally called high-performance computing (HPC). Grid, Cloud, and Fog computing patterns are the most important of these PADS paradigms, which share common concepts in practice. Many-core architectures, multi-core cluster-based supercomputers, and Cloud Computing paradigms in this era of exascale computers have tremendously influenced the way computing is applied in science and academia (e.g., scientific computing and large-scale simulations). Implementing Parallel and Distributed Systems presents a PADS infrastructure known as Parvicursor that can facilitate the construction of such scalable and high-performance parallel distributed systems as HPC, Grid, and Cloud Computing. This book covers parallel programming models, techniques, tools, development frameworks, and advanced concepts of parallel computer systems used in the construction of distributed and HPC systems. It specifies a roadmap for developing high-performance client-server applications for distributed environments and supplies step-by-step procedures for constructing a native and object-oriented C++ platform. FEATURES: Hardware and software perspectives on parallelism Parallel programming many-core processors, computer networks and storage systems Parvicursor.NET Framework: a partial, native, and cross-platform C++ implementation of the .NET Framework xThread: a distributed thread programming model by combining thread-level parallelism and distributed memory programming models xDFS: a native cross-platform framework for efficient file transfer Parallel programming for HPC systems and supercomputers using message passing interface (MPI) Focusing on data transmission speed that exploits the computing power of multicore processors and cutting-edge system-on-chip (SoC) architectures, it explains how to implement an energy-efficient infrastructure and examines distributing threads amongst Cloud nodes. Taking a solid approach to design and implementation, this book is a complete reference for designing, implementing, and deploying these very complicated systems.



Grid Computing The New Frontier Of High Performance Computing


Grid Computing The New Frontier Of High Performance Computing
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Author : Lucio Grandinetti
language : en
Publisher: Elsevier
Release Date : 2005-11-15

Grid Computing The New Frontier Of High Performance Computing written by Lucio Grandinetti and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-15 with Computers categories.


The book deals with the most recent technology of distributed computing.As Internet continues to grow and provide practical connectivity between users of computers it has become possible to consider use of computing resources which are far apart and connected by Wide Area Networks.Instead of using only local computing power it has become practical to access computing resources widely distributed. In some cases between different countries in other cases between different continents.This idea of using computer power is similar to the well known electric power utility technology. Hence the name of this distributed computing technology is the Grid Computing.Initially grid computing was used by technologically advanced scientific users.They used grid computing to experiment with large scale problems which required high performance computing facilities and collaborative work.In the next stage of development the grid computing technology has become effective and economically attractive for large and medium size commercial companies.It is expected that eventually the grid computing style of providing computing power will become universal reaching every user in industry and business. * Written by academic and industrial experts who have developed or used grid computing* Many proposed solutions have been tested in real life applications* Covers most essential and technically relevant issues in grid computing



High Performance Computing Infrastructure For South East Europe S Research Communities


High Performance Computing Infrastructure For South East Europe S Research Communities
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Author : Mihnea Dulea
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-08-13

High Performance Computing Infrastructure For South East Europe S Research Communities written by Mihnea Dulea and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-13 with Technology & Engineering categories.


This book is a collection of carefully reviewed papers presented during the HP-SEE User Forum, the meeting of the High-Performance Computing Infrastructure for South East Europe’s (HP-SEE) Research Communities, held in October 17-19, 2012, in Belgrade, Serbia. HP-SEE aims at supporting and integrating regional HPC infrastructures; implementing solutions for HPC in the region; and making HPC resources available to research communities in SEE, region, which are working in a number of scientific fields with specific needs for massively parallel execution on powerful computing resources. HP-SEE brings together research communities and HPC operators from 14 different countries and enables them to share HPC facilities, software, tools, data and research results, thus fostering collaboration and strengthening the regional and national human network; the project specifically supports research groups in the areas of computational physics, computational chemistry and the life sciences. The contributions presented in this book are organized in four main sections: computational physics; computational chemistry; the life sciences; and scientific computing and HPC operations.



Contribution To High Performance Computing And Big Data Infrastructure Convergence


Contribution To High Performance Computing And Big Data Infrastructure Convergence
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Author : Michael Mercier (auteur en informatique).)
language : en
Publisher:
Release Date : 2019

Contribution To High Performance Computing And Big Data Infrastructure Convergence written by Michael Mercier (auteur en informatique).) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.


The amount of data produced, either in the scientific community and the commercial world, is constantly growing. The field of Big Data has emerged to handle a large amount of data on distributed computing infrastructures. High-Performance Computer (HPC) infrastructures are made for intensive parallel computations. The HPC community is also facing more and more data because of new high definition sensors and large physics apparatus. The convergence of the two fields is currently happening. In fact, the HPC community is already using Big Data tools, but they are not integrated correctly, especially at the level of the file system and the Resources and Job Management System (RJMS).In order to understand how we can leverage HPC clusters for Big Data usage, and what are the challenges for the HPC infrastructures, we have studied multiple aspects of the convergence: we have made a survey on the software provisioning methods, with a focus on data-intensive applications. We also propose a new RJMS collaboration technique called BeBiDa which is based on 50 lines of code whereas similar solutions use at least 1000x more. We evaluate this mechanismon real conditions and in a simulation with our simulator Batsim.



High Performance Computing In Science And Engineering 08


High Performance Computing In Science And Engineering 08
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Author : Wolfgang E. Nagel
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-01-10

High Performance Computing In Science And Engineering 08 written by Wolfgang E. Nagel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-10 with Mathematics categories.


The discussions and plans on all scienti?c, advisory, and political levels to realize an even larger “European Supercomputer” in Germany, where the hardware costs alone will be hundreds of millions Euro – much more than in the past – are getting closer to realization. As part of the strategy, the three national supercomputing centres HLRS (Stuttgart), NIC/JSC (Julic ̈ h) and LRZ (Munich) have formed the Gauss Centre for Supercomputing (GCS) as a new virtual organization enabled by an agreement between the Federal Ministry of Education and Research (BMBF) and the state ministries for research of Baden-Wurttem ̈ berg, Bayern, and Nordrhein-Westfalen. Already today, the GCS provides the most powerful high-performance computing - frastructure in Europe. Through GCS, HLRS participates in the European project PRACE (Partnership for Advances Computing in Europe) and - tends its reach to all European member countries. These activities aligns well with the activities of HLRS in the European HPC infrastructure project DEISA (Distributed European Infrastructure for Supercomputing Appli- tions) and in the European HPC support project HPC-Europa. Beyond that, HLRS and its partners in the GCS have agreed on a common strategy for the installation of the next generation of leading edge HPC hardware over the next ?ve years. The University of Stuttgart and the University of Karlsruhe have furth- more agreed to bundle their competences and resources.