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Parallel Computing: more books (100)

Tools for High Performance Computing 2009: Proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden
Scientific Computing: An Introduction with Parallel Computing by Gene H. Golub, James M. Ortega, 1993-02-03
Parallel and Distributed Simulation Systems (Wiley Series on Parallel and Distributed Computing) by Richard M. Fujimoto, 2000-01-03
Foundations of Multithreaded, Parallel, and Distributed Programming by Gregory R. Andrews, 1999-12-10
Task Scheduling for Parallel Systems (Wiley Series on Parallel and Distributed Computing) by Oliver Sinnen, 2007-05-04
Parallel Computing for Real-time Signal Processing and Control (Advanced Textbooks in Control and Signal Processing) by M. Osman Tokhi, M. Alamgir Hossain, et all 2003-03-18
Fundamentals of Parallel Processing by Harry F. Jordan, Gita Alaghband, 2002-08-26
High Performance Cluster Computing: Programming and Applications, Volume 2
An Introduction to Parallel Programming by Peter Pacheco, 2011-01-18
Parallel Computing: Architectures, Algorithms and Applications - Volume 15 Advances in Parallel Computing by C. Bischof, 2008-03-15
The Art of Parallel Programming by Bruce P. Lester, 2006-01
Patterns for Parallel Software Design (Wiley Software Patterns Series) by Jorge Luis Ortega-Arjona, 2010-03-15
Patterns for Parallel Programming by Timothy G. Mattson, Beverly A. Sanders, et all 2004-09-25
Patterns and Skeletons for Parallel and Distributed Computing

lists with details

Welcome: PC² // Paderborn Center For Parallel Computing
Computing and service center of University of Paderborn, Germany. Hosting and participating several national and international projects, operating innovative parallel computers. Good reputation in parallel computer science.
http://pc2.uni-paderborn.de/

Extractions: Search: Advanced Search Language: The Paderborn Center for Parallel Computing, PC², is an interdisciplinary institute of the University of Paderborn, Germany. We are specialized in distributed and parallel computing for research, development and practical applications and for the investigation of new fields for our partners and ourselves. Practical work has been done in a number of different areas shown in our projects page. Our parallel computers are amongst the most powerful of their type. They enable us to study practical applications in a high-performance computing environment. Among our computing facilities are several large Intel- and AMD-based InfiniBand- and MyriNet-clusters with up to 416 processors, and some smaller machines. These systems can be accessed conveniently via the G-WIN network.
PARALLEL COMPUTING
File Format PDF/Adobe Acrobat Quick View
http://www.azalisaudi.com/para/Para-Week1-Intro.pdf
Parallel Computing Background
Parallel Computing Background Parallel computing is the Computer Science discipline that deals with the system architecture and software issues related to the concurrent
http://www.intel.com/pressroom/kits/upcrc/ParallelComputing_backgrounder.pdf
Who Wrote The Book Of Life? - NASA Science
NASA uses a parallel computer to classify new life forms.
http://science.nasa.gov/newhome/headlines/ast28may99_1.htm

Extractions: Skip to Main Content Header Search Site Go! Home Big Questions Earth Heliophysics ... Science@NASA Headline News ā†’ Who wrote the Book of Life? Space Science News home Correction June 4, 1999: The speed of the Leibniz computer was originally quoted as 12 Gflops. In fact the speed is much closer to 1.2 Gflops. We regret the error. May 28, 1999: During the May 18th press conference announcing Nobel Laureate Dr. Baruch Blumberg as the new head of NASA's Astrobiology Institute, Blumberg posed a challenge to the scientific community. "The mission is to look for life without any specifications. Nothing in the mission would preclude looking for rather strange and unusual life forms that we can't even imagine right now," said Blumberg. NASA Administrator Dan Goldin concurred, stating, "We're looking for any form of biological life. Single-cell (organisms) would be a grand slam."
Parallel Computing
Parallel Computing. Parallel Computing @ ScienceDirect Volume 36, 2010 Volume 35, 2009 Volume 34, 2008 Volume 33, 2007 Volume 32, 2006
http://www.informatik.uni-trier.de/~ley/db/journals/pc/index.html
Getting Started With Parallel Computing
What is Parallel Computing? Parallel computing is a form of computation in which many operations are carried out simultaneously. Visual Studio 2010, the .NET Framework 4, and
http://msdn.microsoft.com/en-us/concurrency/ee847320.aspx
PARALLEL-COMPUTING.LOVE.COM | All Things
Programming is getting more challenging, particularly if you're working in a field that requires you to tune your application for the fastest possible throughput.
http://parallel-computing.love.com/page/3
Vas's M.Phil Chapter 7 Taxonomy
Discussions of past classification systems and development of a new one.
http://www.gigaflop.demon.co.uk/comp/chapt7.htm

Extractions: It explains various published parallel computer taxonomies, and introduces a new one based on how I saw the field developing. At the moment there are only a few chapters is on line so apologies for any cross references to other chapters. To see the formulae later on in this page your browser should display mathematical symbols correctly. then the formulae are being shown correctly. Home Aberystwyth Heanor Computing ... Help 7 Taxonomy 7.1 Flynn's Taxonomy 7.1.1 SISD Machine 7.1.2 SIMD Machine 7.1.3 MISD Machine 7.1.4 MIMD Machine 7.1.5 Extensions to Flynn's Taxonomy 7.2 Handler's Classification 7.3 Shore's Taxonomy 7.3.1 Type-I 7.3.2 Type-II 7.3.3 Type-III 7.3.4 Type-IV 7.3.5 Type-V 7.3.6 Type-VI 7.5 Towards a New Taxonomy 7.5.1 Performance 7.5.1.1 Clock Speed
Universal Parallel Computing Research Center At The University Of Illinois
UPCRC Illinois welcomes your feedback on parallel computing research and education initiatives outlined in our whitepaper and on this website.
http://www.upcrc.illinois.edu/

Extractions: Dr. Dobb's Go Parallel Intel Corporation ISN - Parallel Programming and Multicore Academic Showcase for College Educators Parallel Programming Talk on ISN TV Teach Parallel on ISN TV Microsoft Corporation Parallel Computing Developer Center VS2010 Parallel Computing Features Tour VS2010 Parallel Computing Video Tutorials Parallel Computing Community ... Visit here for more sponsor resources. For many decades, single core technology ruled the computing industry, collaborating with a sequential programming interface to serve the vast majority of applications. Unfortunately, single core technology has hit the power wall and will no longer be able to keep up with the next generation, human-centric computing demands of mass-market client and business applications. If every computer will be a parallel computer, most programs must execute in parallel and most programming teams must be able to develop parallel programs - a daunting goal given the challenges facing today's programmers. To make parallelism truly universal, we must move beyond current bug-prone parallel programming models to an ecosystem that reduces opportunities for errors, while exploiting the full performance potential of parallelism. With funding and support from Microsoft and Intel, UPCRC at Illinois is tackling one of the most complex problems facing industry today -
HomeĀ - Par-tec.com
Builds parallel computing clusters from commodity hardware using a high performance communication subsystem. Information about products, downloadable manuals, research papers.
http://www.par-tec.de/

Extractions: ParTec's Cluster Competence Center delivers the software, consultancy and support services necessary to achieve new heights in productivity and availability on todays commodity based supercomputers. Parastation, an opensource project developed and maintained by ParTec, has unique features specifically designed to address the challenges of scalability and reliability on extremely large clusters. ParTec's unrivaled expertise in delivering professional services, consultancy and support has made it the partner of choice in some of the leading HPC sites across Europe. HPC challenges are characterized by computational, data-intensive, or numerically intensive tasks involving complex computations with large data sets requiring exceptionally fast throughput. Conference on International Exascale Software Project Hungrige Superhirne - ParTec supports Energy-Efficient Cluster-Computing Researchers Seeking the Fourth Property of Electrons using JUROPA Cluster JuRoPA - One Year On - Hugo Falter talks at ISC 2010 (Hamburg) ... Forschungszentrum JĆ¼lich, Intel and ParTec have signed a multi-year agreement to create the ExaCluster Laboratory located on the campus of the Research Center in JĆ¼lich, Germany. ISC Cloud Event in Frankfurt, October 28-29, 2010
UPCRC Illinois - Wikipedia, The Free Encyclopedia
UPCRC Illinois is one of two Universal Parallel Computing Research Centers launched in 2008 by Microsoft Corporation and Intel Corporation to accelerate the development of
http://en.wikipedia.org/wiki/UPCRC_Illinois

Extractions: From Wikipedia, the free encyclopedia Jump to: navigation search UPCRC Illinois is one of two Universal Parallel Computing Research Centers launched in 2008 by Microsoft Corporation and Intel Corporation to accelerate the development of mainstream parallel computing for consumer and business applications such as desktop and mobile computing. UPCRC Illinois is a joint research effort of the Illinois Department of Computer Science and the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. Research is conducted by faculty members and graduate students from the departments of Computer Science and Electrical and Computer Engineering. UPCRC Illinois research faculty are led by Co-Directors Marc Snir and Wen-mei Hwu The UPCRC Illinois whitepaper, Parallel Computing Research at Illinois: The UPCRC Agenda , expands in great detail about three primary research themes: Focus on Disciplined Parallel Programming ā€”Sequential languages have evolved to support well-structured programming , and provide safety and modularity. Mechanisms for parallel control, synchronization, and communication have not yet undergone a similar evolution. The UPCRC Illinois takes the optimistic view that parallelism can be tamed for all to use by providing disciplined parallel programming models, supported by sophisticated development and execution environments.
Cluster Computing Info Centre
Information about some cluster computing books. Links to software and parallel computing documentation.
http://www.gridbus.org/~raj/cluster/
Parallel Computing
Parallel Computing Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel
http://www.springer.com/computer/communication networks/book/978-1-84882-408-9

Extractions: Basket USA Change New User Login Subjects Services About us Company Information Mission Statement Management Annual Reports Key Facts ... Locations Worldwide What we do Publishing Fields Springer and Open Access Springer in China Developing Countries Initiative Press Press Releases Springer Select Media Kit and Downloads Career All Job Vacancies Trainee-Programs / Editorial Trainees Internships Vocational Training There are no results matching your search terms.
Parallel Computing -- From Wolfram MathWorld
Parallel computing is the execution of a computer program utilizing multiple computer processors (CPU) concurrently instead of using one processor exclusively. Let T(n,1) be
http://mathworld.wolfram.com/ParallelComputing.html

Extractions: Parallel Computing Parallel computing is the execution of a computer program utilizing multiple computer processors (CPU) concurrently instead of using one processor exclusively. Let be the run-time of the fastest known sequential algorithm and let be the run-time of the parallel algorithm executed on processors, where is the size of the input. The speedup is then defined as i.e., the ratio of the sequential execution time to the parallel execution time. Ideally, one would like , which is called perfect speedup, although in practice this is rarely achieved. (There are some situations where superlinear speedup is achieved due to memory hierarchy effects.) Another metric to measure the performance of a parallel algorithm is efficiency, , defined as One can use speedup and efficiency to analyze algorithms either theoretically using asymptotic run-time complexity or in practice by measuring the time of program execution. When is fixed, Speedup and Efficiency are equivalent measures, differing only by the constant factor
Parallel And Distributed Computing Lab Of The VUB
Part of the Department of Electronics and Informatics of the faculty of Applied Science of the Vrije Universiteit Brussel.
http://parallel.vub.ac.be
What Are Parallel Computing, Grid Computing, And Supercomputing? - Knowledge Bas
Jun 16, 2010 Parallel computing is the concurrent use of multiple processors (CPUs) to do computational work. In traditional (serial) programming,
http://kb.iu.edu/data/angf.html

Extractions: Include archived documents Search results per page Login Login is for authorized groups (e.g., UITS, OVPIT, and TCC) that need access to specialized Knowledge Base documents. Otherwise, simply use the Knowledge Base without logging in. Username: Password: Close Text size: Parallel computing is the concurrent use of multiple processors (CPUs) to do computational work. In traditional (serial) programming, a single processor executes the program instructions in a step-by-step manner. Some operations, however, have multiple steps that do not have time dependencies and can therefore be broken up into multiple tasks to be executed simultaneously. For example, adding a number to all the elements of a matrix does not require that the result obtained from summing one element be acquired before summing the next element. Elements in the matrix can be made available to several processors and the sums performed simultaneously, with the results available much more quickly than if the operations had all been performed serially. Parallel computations can be performed on shared-memory systems with multiple CPUs, or on distributed-memory clusters made up of smaller shared-memory systems or single-CPU systems. Coordinating the concurrent work of the multiple processors and synchronizing the results are handled by program calls to parallel libraries; these tasks usually require parallel programming expertise. At Indiana University, the
Euro-Par Conference Series - The Mission Statement
Annual series of international conferences dedicated to the promotion and advancement of all aspects of parallel computing. Links to past and present conference information.
http://www.euro-par.org/

Extractions: Sunday, 31 October 2010 SC Area View all Home Euro-Par is an annual series of international conferences dedicated to the promotion and advancement of all aspects of parallel computing. The major themes can be divided into the broad categories of hardware, software, algorithms and applications for parallel computing. The objective of Euro-Par is to provide a forum within which to promote the development of parallel computing both as an industrial technique and an academic discipline, extending the frontier of both the state of the art and the state of the practice. This is particularly important at a time when parallel computing is undergoing strong and sustained development and experiencing real industrial take up. The main audience for and participants in Euro-Par are seen as researchers in academic departments, government laboratories and industrial organisations. Euro-Par's objective is to be the primary choice of such professionals for the presentation of new results in their specific areas. Euro-Par is also interested in applications which demonstrate the effectiveness of the main Euro-Par themes.
Parallel Computing: Definitions, Examples And Explanations
Parallel computing examples, definitions, explanations.
http://www.eecs.umich.edu/~qstout/parallel.html

Extractions: A Not Too Serious Explanation. Before I explain parallel computing, it's important to understand that You can run, but you can't hide. I'll come back to this later. Suppose you have a lot of work to be done, and want to get it done much faster, so you hire 100 workers. If the work is 100 separate jobs that don't depend on each other, and they all take the same amount of time and can be easily parceled out to the workers, then you'll get it done about 100 times faster. This is so easy that it is called embarrassingly parallel . Just because it is embarrassing doesn't mean you shouldn't do it, and in fact it is probably exactly what you should do. A different option would be to parallelize each job, as discussed below, and then run these parallelizations one after another. However, as will be shown, this is probably a less efficient way of doing the work. Occasionally this isn't true because on computers, doing all of the job on one processor may require storing many results on disk, while the parallel job may spread the intermediate results in the RAM of the different processors. RAM is much faster than disks. However, if the program isn't spending a lot of time using the disk then embarrassingly parallel is the smart way to go. Assume this is what you should do unless you analyze the situation and determine that it isn't. Embarrassingly parallel is simple, and if you can get the workers do it for free then it is the cheapest solution as well.
The Landscape Of Parallel Computing Research: A View From Berkeley | EECS At UC
The Landscape of Parallel Computing Research A View from Berkeley Krste Asanovic, Ras Bodik, Bryan Christopher Catanzaro, Joseph James Gebis, Parry Husbands, Kurt Keutzer
http://www.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-183.html

Extractions: December 18, 2006 The recent switch to parallel microprocessors is a milestone in the history of computing. Industry has laid out a roadmap for multicore designs that preserves the programming paradigm of the past via binary compatibility and cache coherence. Conventional wisdom is now to double the number of cores on a chip with each silicon generation. A multidisciplinary group of Berkeley researchers met nearly two years to discuss this change. Our view is that this evolutionary approach to parallel hardware and software may work from 2 or 8 processor systems, but is likely to face diminishing returns as 16 and 32 processor systems are realized, just as returns fell with greater instruction-level parallelism. We believe that much can be learned by examining the success of parallelism at the extremes of the computing spectrum, namely embedded computing and high performance computing. This led us to frame the parallel landscape with seven questions, and to recommend the following:
International Conferences On Parallel Computing Technologies (PaCT)series
Parallel Computing Technologies. Links to individual conference pages for this series of biennial Russian conferences.
http://ssd.sscc.ru/conferences.htm

Extractions: Parallel Computing Technologies (PaCT) International Conferences Series PaCT series is organized by Supercomputer Software Department, Computing Center of Russian Academy of Sciences (Novosibirsk) in the collaboration with the other universities and academic institutions. Parallel Computing Technologies (PaCT) International conferences are organized each odd year. PaCT-91 Novosibirsk PaCT-93 Obninsk PaCT-95 , St.-Petersburg, Russia, September 12-15, 1995 (LNCS Vol. 964). PaCT-97 , Yaroslavl, Russia, September 1997 (LNCS Vol. 1277). PaCT-99 , St.-Petersburg, Russia, September 6 - 10, 1999. (LNCS Vol. 1662) PaCT-2001 , Novosibirsk ( Academgorodok ), Russia, September 3 - 7, 2001.(LNCS Vol. 2127) PaCT-2003 , Nizhni Novgorod, Russia, September 15-19, 2003. (LNCS Vol. 2763) PaCT-2005 , Krasnoyarsk, Russia, September, 2005. (LNCS vol. 3 606) PaCT-2007 , Pereslavl-Zalessky, Russia, September, 2007. LNCS vol. 4671

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