Problem solving in High Performance Computing

Problem solving in High Performance Computing
Author: Igor Ljubuncic
Publsiher: Morgan Kaufmann
Total Pages: 320
Release: 2015-09-01
ISBN 10: 0128010649
ISBN 13: 9780128010648
Language: EN, FR, DE, ES & NL

Problem solving in High Performance Computing Book Review:

Problem-Solving in High Performance Computing: A Situational Awareness Approach with Linux focuses on understanding giant computing grids as cohesive systems. Unlike other titles on general problem-solving or system administration, this book offers a cohesive approach to complex, layered environments, highlighting the difference between standalone system troubleshooting and complex problem-solving in large, mission critical environments, and addressing the pitfalls of information overload, micro, and macro symptoms, also including methods for managing problems in large computing ecosystems. The authors offer perspective gained from years of developing Intel-based systems that lead the industry in the number of hosts, software tools, and licenses used in chip design. The book offers unique, real-life examples that emphasize the magnitude and operational complexity of high performance computer systems. Provides insider perspectives on challenges in high performance environments with thousands of servers, millions of cores, distributed data centers, and petabytes of shared data Covers analysis, troubleshooting, and system optimization, from initial diagnostics to deep dives into kernel crash dumps Presents macro principles that appeal to a wide range of users and various real-life, complex problems Includes examples from 24/7 mission-critical environments with specific HPC operational constraints

High Performance Computing in Finance

High Performance Computing in Finance
Author: M. A. H. Dempster,Juho Kanniainen,John Keane,Erik Vynckier
Publsiher: CRC Press
Total Pages: 614
Release: 2018-02-21
ISBN 10: 1482299674
ISBN 13: 9781482299670
Language: EN, FR, DE, ES & NL

High Performance Computing in Finance Book Review:

High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.

High performance computing for solving large sparse systems Optical diffraction tomography as a case of study

High performance computing for solving large sparse systems  Optical diffraction tomography as a case of study
Author: Gloria Ortega López
Publsiher: Universidad Almería
Total Pages: 182
Release: 2015-04-14
ISBN 10: 8416027587
ISBN 13: 9788416027583
Language: EN, FR, DE, ES & NL

High performance computing for solving large sparse systems Optical diffraction tomography as a case of study Book Review:

This thesis, entitled €High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study€ investigates the computational issues related to the resolution of linear systems of equations which come from the discretization of physical models described by means of Partial Differential Equations (PDEs). These physical models are conceived for the description of the space-temporary behavior of some physical phenomena f(x, y, z, t) in terms of their variations (partial derivative) with respect to the dependent variables of the phenomena. There is a wide variety of discretization methods for PDEs. Two of the most well-known methods are the Finite Difference Method (FDM) and the Finite Element Method (FEM). Both methods result in an algebraic description of the model that can be translated into the approach of a linear system of equations of type (Ax = b), where A is a sparse matrix (a high percentage of zero elements) whose size depends on the required accuracy of the modeled phenomena. This thesis begins with the algebraic description of the model associated with the physical phenomena, and the work herein has been focused on the design of techniques and computational models that allow the resolution of these linear systems of equations. The main interest of this study is specially focused on models which require a high level of discretization and usually generate sparse matrices, A, which have a highly sparse structure and large size. Literature characterizes these types of problems by their high demanding computational requirements (because of their fine degree of discretization) and the sparsity of the matrices involved, suggesting that these kinds of problems can only be solved using High Performance Computing techniques and architectures. One of the main goals of this thesis is the research of the possible alternatives which allow the implementation of routines to solve large and sparse linear systems of equations using High Performance Computing (HPC). The use of massively parallel platforms (GPUs) allows the acceleration of these routines, because they have several advantages for vectorial computation schemes. On the other hand, the use of distributed memory platforms allows the resolution of problems defined by matrices of enormous size. Finally, the combination of both techniques, distributed computation and multi-GPUs, will allow faster resolution of interesting problems in which large and sparse matrices are involved. In this line, one of the goals of this thesis is to supply the scientific community with implementations based on multi-GPU clusters to solve sparse linear systems of equations, which are the key in many scientific computations. The second part of this thesis is focused on a real physical problem of Optical Diffractional Tomography (ODT) based on holographic information. ODT is a non-damaging technique which allows the extraction of the shapes of objects with high accuracy. Therefore, this technique is very suitable to the in vivo study of real specimens, microorganisms, etc., and it also makes the investigation of their dynamics possible. A preliminary physical model based on a bidimensional reconstruction of the seeding particle distribution in fluids was proposed by J. Lobera and J.M. Coupland. However, its high computational cost (in both memory requirements and runtime) made compulsory the use of HPC techniques to extend the implementation to a three dimensional model. In the second part of this thesis, the implementation and validation of this physical model for the case of three dimensional reconstructions is carried out. In such implementation, the resolution of large and sparse linear systems of equations is required. Thus, some of the algebraic routines developed in the first part of the thesis have been used to implement computational strategies capable of solving the problem of 3D reconstruction based on ODT.

Solving competitive location problems via memetic algorithms High performance computing approaches

Solving competitive location problems via memetic algorithms  High performance computing approaches
Author: Juana López Redondo
Publsiher: Universidad Almería
Total Pages: 329
Release: 2009-02-19
ISBN 10: 848240914X
ISBN 13: 9788482409146
Language: EN, FR, DE, ES & NL

Solving competitive location problems via memetic algorithms High performance computing approaches Book Review:

La localización de servicios (“Facility location” en inglés) pretende encontrar el emplazamiento de uno o más centros (servicios) de modo que se optimice una determinada función objetivo. Dicha función objetivo puede, por ejemplo, tratar de minimizar el coste de transporte, proporcionar a los clientes un servicio de forma equitativa, capturar la mayor cuota de mercado posible, etc. La localización de servicios abarca muchos campos, como la investigación operativa, la ingeniería industrial, la geografía, la economía, las matemáticas, el marketing, el planning urbanístico, además de otros muchos campos relacionados. Existen muchos problemas de localización en la vida real, como por ejemplo, la localización de hospitales, de colegios o vertederos, por nombrar algunos. Para ser capaces de obtener soluciones a los problemas de localización, es necesario desarrollar/diseñar un modelo que represente la realidad lo más fielmente posible. Dichos modelos pueden llegar a ser realmente difíciles de tratar. Muchos algoritmos de optimización global, exactos y heurísticos han sido propuestos para resolver problemas de localización. Los algoritmos exactos se caracterizan por ser capaces de obtener el óptimo global con una cierta precisión. Sin embargo, suelen ser altamente costosos desde el punto de vista computacional, lo que implica que, en determinados casos, sea imposible aplicarlos para resolver un problema. Los algoritmos heurísticos se alzan entonces como una buena alternativa. No obstante, en determinadas circunstancias, los requerimientos computacionales son tan elevados, que el uso de algoritmos heurísticos ejecutándose en procesadores estándares no es suficiente. En tales situaciones, la computación de altas prestaciones es necesaria. Esta tesis, “Solving competitive location problems via memetic algorithms. High performance computing approaches” (Algoritmos meméticos para problemas de localización competitiva. Computación de altas prestaciones), proporciona, por un lado, algoritmos heurísticos capaces de resolver problemas de localización, tanto en el dominio continuo como en el discreto y, por otro lado, técnicas paralelas que permiten reducir el tiempo de ejecución, resolver problemas más grandes, e incluso en ocasiones mejorar la calidad de las soluciones. Esta tesis incluye tres partes bien diferenciadas, cada una de las cuales se divide en varios capítulos. La primera parte Preliminaries (Preliminares), está compuesta por tres capítulos que revisan el estado actual de la optimización global, de la computación de altas prestaciones y de la ciencia de la localización, respectivamente. El Capítulo 1 comienza con la definición de los problemas de optimización, y continúa con la introducción de diferentes métodos heurísticos para tratar con ellos. El Capítulo 2 describe brevemente algunas de las arquitecturas paralelas y de los modelos de programación paralelos. Finalmente, en el Capítulo 3, se describen y analizan los principales ingredientes de la localización de servicios, y se presenta una revisión sobre problemas de localización continuos y discretos. La segunda parte de la tesis, Solving continuous location problems (Resolviendo problemas de localización continua), comienza en el Capítulo 4, donde se presenta un problema de localización competitiva en el plano y se revisan dos técnicas previamente propuestas en la literatura para resolverlo. Posteriormente, se describe una nuevo algoritmo evolutivo para resolver óptimamente el problema, llamado UEGO, y se comparan todas las alternativas. Finalmente, varias estrategias paralelas basadas en el algoritmo UEGO son analizadas y evaluadas. En el Capítulo 5, el problema de localizar un solo centro en el plano, se extiende al caso en el que la cadena o empresa quiere emplazar más de un servicio. Para abordar este problema, se adapta el algoritmo UEGO presentado en el Capítulo 4, además de otras técnicas descritas en la literatura. A través de un extenso estudio computational, todas los algoritmos son comparados y se concluye que UEGO es el mejor de todos ellos, tanto por su eficiencia como por su efectividad. UEGO es usado para realizar un estudio de sensibilidad con el fin de chequear los cambios de diseño/localización óptima cuando los parámetros del modelo cambian. Finalmente, se presentan y evalúan varias técnicas paralelas para tratar el problema de localización de varios centros. El Capítulo 6 está dedicado al problema de líder-seguidor. En dicho problema, tras la localización del líder, el competidor reacciona localizando otro nuevo centro en el lugar que maximice su propio beneficio. El objetivo del líder es encontrar la solución que maximice su beneficio, sabiendo que posteriormente, la competencia localizará un nuevo centro. Por tanto, hay que resolver dos problemas simultáneamente: el problema del seguidor, también denominado medianoide, y el problema del líder o centroide. El modelo del problema del líder-seguidor se describe al principio del capítulo. Posteriormente, se proponen y evalúan varios algoritmos para resolver tanto el problema del medianoide como el del centroide. El capítulo finaliza con la paralelización de uno de los algoritmos propuestos. La tercera parte de la tesis, Solving discrete location problems (Resolviendo problemas de localización discreta), comienza en el Capítulo 7 con una introducción sobre algunos problemas de localización discreta. Este capítulo analiza aquellos casos en los que dichos problemas podrían presentar varias soluciones óptimas. Además, se muestra cómo un usuario experimentado podría obtenerlas, y se establecen algunos criterios para seleccionar una solución óptima entre diferentes alternativas. El capítulo finaliza con la descripción del algoritmo MSH, un heurístico ampliamente usado en la literatura para la resolución de problemas de localización discreta. El Capítulo 8 describe un algoritmo genético multimodal, GASUB, capaz de resolver varios problemas de localización discreta. El algoritmo tiene diferentes parámetros de entrada que pueden ser ajustados para alcanzar diferentes metas. En este capítulo, el objetivo es obtener al menos una solución óptima, pero invirtiendo el menor esfuerzo (tiempo) computacional posible. Para tal fin, se lleva a cabo un estudio previo y se determina el conjunto de parámetros adecuado. GASUB, con este conjunto de parámetros, es comparado con el optimizador Xpress-MP y con la heurística MSH, los cuales son capaces de obtener un único óptimo global (de manera directa). Sin embargo, teniendo en cuenta que los problemas de localización discreta considerados en esta tesis pueden tener más de una solución óptima, en el Capítulo 9 se analiza la posibilidad de explotar las propiedades multimodales de GASUB. Con este fin, se propone un nuevo conjunto de parámetros, con el que GASUB es nuevamente evaluado. Finalmente, se da una paralelización de GASUB y se estudian algunas de las soluciones globales encontradas por los algoritmos. La tesis finaliza con un resumen sobre los principales resultados obtenidos y sobre la líneas de investigación futura.

Implementing an IBM High Performance Computing Solution on IBM POWER8

Implementing an IBM High Performance Computing Solution on IBM POWER8
Author: Dino Quintero,Wei Li,Wainer dos Santos Moschetta,Mauricio Faria de Oliveira,Alexander Pozdneev,IBM Redbooks
Publsiher: IBM Redbooks
Total Pages: 310
Release: 2015-09-15
ISBN 10: 0738440930
ISBN 13: 9780738440934
Language: EN, FR, DE, ES & NL

Implementing an IBM High Performance Computing Solution on IBM POWER8 Book Review:

This IBM® Redbooks® publication documents and addresses topics to provide step-by-step programming concepts to tune the applications to use IBM POWER8® hardware architecture with the technical computing software stack. This publication explores, tests, and documents how to implement an IBM high-performance computing (HPC) solution on POWER8 by using IBM technical innovations to help solve challenging scientific, technical, and business problems. This book demonstrates and documents that the combination of IBM HPC hardware and software solutions delivers significant value to technical computing clients in need of cost-effective, highly scalable, and robust solutions. This book targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for delivering cost-effective HPC solutions that help uncover insights among clients' data so that they can act to optimize business results, product development, and scientific discoveries.

Solutions to Parallel and Distributed Computing Problems

Solutions to Parallel and Distributed Computing Problems
Author: Albert Y. Zomaya,Fikret Ercal,Stephan Olariu
Publsiher: Wiley-Interscience
Total Pages: 272
Release: 2000-11-14
ISBN 10:
ISBN 13: STANFORD:36105028662323
Language: EN, FR, DE, ES & NL

Solutions to Parallel and Distributed Computing Problems Book Review:

Solving problems in parallel and distributed computing through the use of bioinspired techniques. Recent years have seen a surge of interest in computational methods patterned after natural phenomena, with biologically inspired techniques such as fuzzy logic, neural networks, simulated annealing, genetic algorithms, or evolutionary computer models increasingly being harnessed for problem solving in parallel and distributed computing. Solutions to Parallel and Distributed Computing Problems presents a comprehensive review of the state of the art in the field, providing researchers and practitioners with critical information on the use of bio-inspired techniques for improving software and hardware design in high-performance computing. Through contributions from top leaders in the field, this important book brings together current research results, exploring some of the most intriguing and cutting-edge topics from the world of biocomputing, including: Parallel and distributed computing of cellular automata and evolutionary algorithms How the speedup of bio-inspired algorithms will help their applicability in a wide range of problems Solving problems in parallel simulation through such techniques as simulated annealing algorithms and genetic algorithms Techniques for solving scheduling and load-balancing problems in parallel and distributed computers Applying neural networks for problem solving in wireless communication systems

Parallel I O for High Performance Computing

Parallel I O for High Performance Computing
Author: John M. May
Publsiher: Morgan Kaufmann
Total Pages: 366
Release: 2001
ISBN 10: 9781558606647
ISBN 13: 1558606645
Language: EN, FR, DE, ES & NL

Parallel I O for High Performance Computing Book Review:

"I enjoyed reading this book immensely. The author was uncommonly careful in his explanations. I'd recommend this book to anyone writing scientific application codes." -Peter S. Pacheco, University of San Francisco "This text provides a useful overview of an area that is currently not addressed in any book. The presentation of parallel I/O issues across all levels of abstraction is this book's greatest strength." -Alan Sussman, University of Maryland Scientific and technical programmers can no longer afford to treat I/O as an afterthought. The speed, memory size, and disk capacity of parallel computers continue to grow rapidly, but the rate at which disk drives can read and write data is improving far less quickly. As a result, the performance of carefully tuned parallel programs can slow dramatically when they read or write files-and the problem is likely to get far worse. Parallel input and output techniques can help solve this problem by creating multiple data paths between memory and disks. However, simply adding disk drives to an I/O system without considering the overall software design will not significantly improve performance. To reap the full benefits of a parallel I/O system, application programmers must understand how parallel I/O systems work and where the performance pitfalls lie. Parallel I/O for High Performance Computing directly addresses this critical need by examining parallel I/O from the bottom up. This important new book is recommended to anyone writing scientific application codes as the best single source on I/O techniques and to computer scientists as a solid up-to-date introduction to parallel I/O research. Features: An overview of key I/O issues at all levels of abstraction-including hardware, through the OS and file systems, up to very high-level scientific libraries. Describes the important features of MPI-IO, netCDF, and HDF-5 and presents numerous examples illustrating how to use each of these I/O interfaces. Addresses the basic question of how to read and write data efficiently in HPC applications. An explanation of various layers of storage - and techniques for using disks (and sometimes tapes) effectively in HPC applications.

High Performance Computing

High Performance Computing
Author: John Levesque,Gene Wagenbreth
Publsiher: CRC Press
Total Pages: 244
Release: 2010-12-14
ISBN 10: 1420077066
ISBN 13: 9781420077063
Language: EN, FR, DE, ES & NL

High Performance Computing Book Review:

High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achievi

High Performance Computing and Networking

High Performance Computing and Networking
Author: Marian Bubak,Bob Hertzberger,Hamideh Afsarmanesh,Roy Williams
Publsiher: Springer Science & Business Media
Total Pages: 719
Release: 2000-04-28
ISBN 10: 3540675531
ISBN 13: 9783540675532
Language: EN, FR, DE, ES & NL

High Performance Computing and Networking Book Review:

This book constitutes the refereed proceedings of the 8th International Conference on High-Performance Computing and Networking, HPCN Europe 2000, held in Amsterdam, The Netherlands, in May 2000. The 52 revised full papers presented together with 34 revised posters were carefully reviewed for inclusion in the book. The papers are organized in sections on problem solving environments, metacomputing, load balancing, numerical parallel algorithms, virtual enterprises and virtual laboratories, cooperation coordination, Web-based tools for tele-working, monitoring and performance, low-level algorithms, Java in HPCN, cluster computing, data analysis, and applications in a variety of fields.

Deep Learning and Edge Computing Solutions for High Performance Computing

Deep Learning and Edge Computing Solutions for High Performance Computing
Author: A. Suresh,Sara Paiva
Publsiher: Springer Nature
Total Pages: 279
Release: 2021-01-27
ISBN 10: 3030602656
ISBN 13: 9783030602659
Language: EN, FR, DE, ES & NL

Deep Learning and Edge Computing Solutions for High Performance Computing Book Review:

This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overview of the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for applications in healthcare are also discussed. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology.

Computational Fluid Dynamics

Computational Fluid Dynamics
Author: Adela Ionescu
Publsiher: BoD – Books on Demand
Total Pages: 410
Release: 2018-02-14
ISBN 10: 9535137905
ISBN 13: 9789535137900
Language: EN, FR, DE, ES & NL

Computational Fluid Dynamics Book Review:

This book is the result of a careful selection of contributors in the field of CFD. It is divided into three sections according to the purpose and approaches used in the development of the contributions. The first section describes the "high-performance computing" (HPC) tools and their impact on CFD modeling. The second section is dedicated to "CFD models for local and large-scale industrial phenomena." Two types of approaches are basically contained here: one concerns the adaptation from global to local scale, - e.g., the applications of CFD to study the climate changes and the adaptations to local scale. The second approach, very challenging, is the multiscale analysis. The third section is devoted to "CFD in numerical modeling approach for experimental cases." Its chapters emphasize on the numerical approach of the mathematical models associated to few experimental (industrial) cases. Here, the impact and the importance of the mathematical modeling in CFD are focused on. It is expected that the collection of these chapters will enrich the state of the art in the CFD domain and its applications in a lot of fields. This collection proves that CFD is a highly interdisciplinary research area, which lies at the interface of physics, engineering, applied mathematics, and computer science.

Computational Science and High Performance Computing III

Computational Science and High Performance Computing III
Author: Egon Krause,Yurii I. Shokin,Nina Shokina
Publsiher: Springer Science & Business Media
Total Pages: 258
Release: 2008-10-12
ISBN 10: 3540690107
ISBN 13: 9783540690108
Language: EN, FR, DE, ES & NL

Computational Science and High Performance Computing III Book Review:

This volume contains 18 contributions to the Third Russian-German Advanced Research Workshop on Computational Science and High Performance Computing presented in July 2007 at Novosibirsk, Russia. The workshop was organized jointly by the High Performance Computing Center Stuttgart (HLRS) and the Institute of Computational Technologies of the Siberian Branch of the Russian Academy of Sciences (ICT SB RAS) The contributions range from computer science, mathematics and high performance computing to applications in mechanical and aerospace engineering. They show a wealth of theoretical work and simulation experience with a potential of bringing together theoretical mathematical modelling and usage of high performance computing systems presenting the state of the art of computational technologies.

High Performance Computing

High Performance Computing
Author: J. J. Dongarra
Publsiher: North-Holland
Total Pages: 427
Release: 1995
ISBN 10: 9780444821638
ISBN 13: 0444821635
Language: EN, FR, DE, ES & NL

High Performance Computing Book Review:

High Performance Computing is an integrated computing environment for solving large-scale computational demanding problems in science, engineering and business. Newly emerging areas of HPC applications include medical sciences, transportation, financial operations and advanced human-computer interface such as virtual reality. High performance computing includes computer hardware, software, algorithms, programming tools and environments, plus visualization. The book addresses several of these key components of high performance technology and contains descriptions of the state-of-the-art computer architectures, programming and software tools and innovative applications of parallel computers. In addition, the book includes papers on heterogeneous network-based computing systems and scalability of parallel systems. The reader will find information and data relative to the two main thrusts of high performance computing: the absolute computational performance and that of providing the most cost effective and affordable computing for science, industry and business. The book is recommended for technical as well as management oriented individuals.

High Performance Computing Enterprise a Clear and Concise Reference

High Performance Computing Enterprise a Clear and Concise Reference
Author: Gerardus Blokdyk
Publsiher: 5starcooks
Total Pages: 286
Release: 2019-02-09
ISBN 10: 9780655528142
ISBN 13: 0655528148
Language: EN, FR, DE, ES & NL

High Performance Computing Enterprise a Clear and Concise Reference Book Review:

Where is High-Performance Computing Enterprise data gathered? What are your most important goals for the strategic High-Performance Computing Enterprise objectives? Is a fully trained team formed, supported, and committed to work on the High-Performance Computing Enterprise improvements? What are the success criteria that will indicate that High-Performance Computing Enterprise objectives have been met and the benefits delivered? How does High-Performance Computing Enterprise integrate with other business initiatives? This premium High-Performance Computing Enterprise self-assessment will make you the dependable High-Performance Computing Enterprise domain assessor by revealing just what you need to know to be fluent and ready for any High-Performance Computing Enterprise challenge. How do I reduce the effort in the High-Performance Computing Enterprise work to be done to get problems solved? How can I ensure that plans of action include every High-Performance Computing Enterprise task and that every High-Performance Computing Enterprise outcome is in place? How will I save time investigating strategic and tactical options and ensuring High-Performance Computing Enterprise costs are low? How can I deliver tailored High-Performance Computing Enterprise advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all High-Performance Computing Enterprise essentials are covered, from every angle: the High-Performance Computing Enterprise self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that High-Performance Computing Enterprise outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced High-Performance Computing Enterprise practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in High-Performance Computing Enterprise are maximized with professional results. Your purchase includes access details to the High-Performance Computing Enterprise self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific High-Performance Computing Enterprise Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Cloud Grid and High Performance Computing Emerging Applications

Cloud  Grid and High Performance Computing  Emerging Applications
Author: Udoh, Emmanuel
Publsiher: IGI Global
Total Pages: 412
Release: 2011-06-30
ISBN 10: 1609606043
ISBN 13: 9781609606046
Language: EN, FR, DE, ES & NL

Cloud Grid and High Performance Computing Emerging Applications Book Review:

"This book offers new and established perspectives on architectures, services and the resulting impact of emerging computing technologies, including investigation of practical and theoretical issues in the related fields of grid, cloud, and high performance computing"--Provided by publisher.

High Performance Computing

High Performance Computing
Author: Jean-Loïc Delhaye,Erol Gelenbe
Publsiher: North-Holland
Total Pages: 457
Release: 1989
ISBN 10:
ISBN 13: UOM:39015015461356
Language: EN, FR, DE, ES & NL

High Performance Computing Book Review:

High performance Computing National Security Applications and Export Control Policy at the Close of the 20th Century

High performance Computing  National Security Applications  and Export Control Policy at the Close of the 20th Century
Author: Seymour E. Goodman,Peter Wolcott,Patrick Homer
Publsiher: Unknown
Total Pages: 170
Release: 1998
ISBN 10:
ISBN 13: STANFORD:36105061798240
Language: EN, FR, DE, ES & NL

High performance Computing National Security Applications and Export Control Policy at the Close of the 20th Century Book Review:

Applications of High performance Computing in Engineering VI

Applications of High performance Computing in Engineering VI
Author: H. Power,M. S. Ingber,C. A. Brebbia
Publsiher: Wit Pr/Computational Mechanics
Total Pages: 491
Release: 2000
ISBN 10: 9781853128103
ISBN 13: 1853128104
Language: EN, FR, DE, ES & NL

Applications of High performance Computing in Engineering VI Book Review:

This book features papers from the Sixth International Conference on Applications of High-Performance Computing in Engineering, the latest in a highly successful series which provides a forum for scientists from many fields and countries to exchange ideas and information. Contributions come from researchers and practitioners in academia, industry and government, and cover a wide range of topics such as fluid flow, structural mechanics, material processing, efficient broadcasting algorithms, and data mining.

High Performance Computing on Complex Environments

High Performance Computing on Complex Environments
Author: Emmanuel Jeannot,Julius Zilinskas
Publsiher: John Wiley & Sons
Total Pages: 512
Release: 2014-06-03
ISBN 10: 1118712056
ISBN 13: 9781118712054
Language: EN, FR, DE, ES & NL

High Performance Computing on Complex Environments Book Review:

With recent changes in multicore and general-purpose computing on graphics processing units, the way parallel computers are used and programmed has drastically changed. It is important to provide a comprehensive study on how to use such machines written by specialists of the domain. The book provides recent research results in high-performance computing on complex environments, information on how to efficiently exploit heterogeneous and hierarchical architectures and distributed systems, detailed studies on the impact of applying heterogeneous computing practices to real problems, and applications varying from remote sensing to tomography. The content spans topics such as Numerical Analysis for Heterogeneous and Multicore Systems; Optimization of Communication for High Performance Heterogeneous and Hierarchical Platforms; Efficient Exploitation of Heterogeneous Architectures, Hybrid CPU+GPU, and Distributed Systems; Energy Awareness in High-Performance Computing; and Applications of Heterogeneous High-Performance Computing. • Covers cutting-edge research in HPC on complex environments, following an international collaboration of members of the ComplexHPC • Explains how to efficiently exploit heterogeneous and hierarchical architectures and distributed systems • Twenty-three chapters and over 100 illustrations cover domains such as numerical analysis, communication and storage, applications, GPUs and accelerators, and energy efficiency

High Performance Computing Standard Requirements

High Performance Computing Standard Requirements
Author: Gerardus Blokdyk
Publsiher: 5starcooks
Total Pages: 284
Release: 2018-10-03
ISBN 10: 9780655424451
ISBN 13: 0655424458
Language: EN, FR, DE, ES & NL

High Performance Computing Standard Requirements Book Review:

What new services of functionality will be implemented next with High-Performance Computing ? Is the measure of success for High-Performance Computing understandable to a variety of people? What High-Performance Computing skills are most important? What other areas of the organization might benefit from the High-Performance Computing team's improvements, knowledge, and learning? Why is High-Performance Computing important for you now? This limited edition High-Performance Computing self-assessment will make you the accepted High-Performance Computing domain expert by revealing just what you need to know to be fluent and ready for any High-Performance Computing challenge. How do I reduce the effort in the High-Performance Computing work to be done to get problems solved? How can I ensure that plans of action include every High-Performance Computing task and that every High-Performance Computing outcome is in place? How will I save time investigating strategic and tactical options and ensuring High-Performance Computing costs are low? How can I deliver tailored High-Performance Computing advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all High-Performance Computing essentials are covered, from every angle: the High-Performance Computing self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that High-Performance Computing outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced High-Performance Computing practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in High-Performance Computing are maximized with professional results. Your purchase includes access details to the High-Performance Computing self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.