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Parallel Computing: more books (100)

Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time (Natural Computing Series) by Marco Tomassini, 2010-11-30
Massively Parallel, Optical, and Neural Computing in Japan, (German National Research Center for Computer Scie)
Applied Parallel Computing. Large Scale Scientific and Industrial Problems: 4th International Workshop, PARA'98, Umea, Sweden, June 14-17, 1998, Proceedings ... Notes in Computer Science) (v. 1541)
Massively Parallel, Optical, and Neural Computing in the United States, by Robert Moxley, Gilbert Kalb, 1992-01-01
Concurrent and Parallel Computing: Theory, Implementation and Applications
Handbook of Parallel Computing: Models, Algorithms and Applications (Chapman & Hall/CRC Computer & Information Science Series)
Tools and Environments for Parallel and Distributed Computing (Wiley Series on Parallel and Distributed Computing)
Handbook of Sensor Networks: Algorithms and Architectures (Wiley Series on Parallel and Distributed Computing)
Parallel Computing: Principles and Practice by T. J. Fountain, 2006-11-23
Introduction to Parallel Computing by Ted G. Lewis, Hesham El-Rewini, 1992-01
Parallel Algorithms and Cluster Computing: Implementations, Algorithms and Applications (Lecture Notes in Computational Science and Engineering)
Grid Computing: The New Frontier of High Performance Computing, Volume 14 (Advances in Parallel Computing)
Parallel I/O for High Performance Computing by John M. May, 2000-10-23
Parallel, Distributed and Grid Computing for Engineering (Computational Science, Engineering & Tec)

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COMP 422 Parallel Computing: Home Page
Home page for COMP 422, Parallel Computing COMP 422 Parallel Computing Spring 2010 John MellorCrummey, Department of Computer Science, Rice University
http://www.clear.rice.edu/comp422/
Parallel Computing Tutorial
of a tutorial about converting serial programs to parallel programs.
http://www.eecs.umich.edu/~qstout/tut/index.html

Extractions: Our tutorial is on Sunday, November 14. This tutorial provides a comprehensive overview of parallel computing, emphasizing those aspects most relevant to the user. It is suitable for new or prospective users, managers, students, and anyone seeking a general overview of parallel computing. It discusses software and hardware, with an emphasis on standards, portability, and systems that are commercially or freely available. Systems examined include clusters and tightly integrated supercomputers. The tutorial provides training in parallel computing concepts and terminology, and uses examples selected from large-scale engineering, scientific, and data intensive applications. These real-world examples are targeted at distributed memory systems using MPI, shared memory systems using OpenMP, and hybrid systems that combine the MPI and OpenMP programming paradigms. The tutorial shows basic parallelization approaches and discusses some of the software engineering aspects of the parallelization process, including the use of state-of-the-art tools. The tools introduced range from parallel debugging tools to performance analysis and tuning packages. We use large-scale projects as examples to help the attendees understand the issues involved in developing efficient parallel programs. Examples include: crash simulation (a complex distributed memory application parallelized for Ford Motor); climate modeling (an application highlighting distributed, shared, and vector computing ideas with examples from NCAR, NASA and ECMWF); space weather prediction (an adaptive mesh code scaling to well over 1000 processors, funded by NASA/DoD/NSF); and design of ethical clinical trials (a memory-intensive application funded by NSF). Attendees find the lessons convincing, and occasionally humourous, because we discuss mistakes as well as successes.
MSL: Mobile Systems Laboratory - UCLA
Projects, research, papers, and free parallel simulation languages.
http://pcl.cs.ucla.edu/

Extractions: About MSL The Mobile Systems Laboratory is engaged in the design, development, and evaluation of mobile networks, such as sensor networks, MANETs, and VANETs. Under the direction of Professor Rajive Bagrodia , the students in the lab are currently researching: For more up-to-date information, please see the lab's publications The laboratory, located in Boelter Hall 3809, is comprised of a heterogeneous computing environment which includes multiple workstation, PCs, laptop computers, and multiprocessor machines. The lab was previously focused on parallel computing research and, thus, contains numerous parallel computing systems and setups. The Computer Science Department provides a number of shared computing resources for research and instructional activities, including networking, disk storage and backup, access to multi-user systems, email, printing, and workstation support. There is also a dedicated computing lab for graduate students. The total computing resources of the Department are much greater than this central core as many research groups have machines not listed here but connected to the departmental LAN.
EPEE
An object oriented design framework for programming distributed memory parallel computers. Publications bibliography.
http://www.irisa.fr/pampa/EPEE/epee.html

Extractions: EPEE (Eiffel Parallel Execution Environment) is an object oriented design framework for programming distributed memory parallel computers, developed within the PAMPA Project . It proposes a programming environment where data and control parallelism are totally encapsulated in regular Eiffel classes, without any extension to the language nor modification of its semantics.
The Landscape Of Parallel Computing Research A View From Berkeley
Nov 17, 2008 To provide an effective parallel computing roadmap quickly so that industry can safely place its bets, we encourage researchers to use
http://view.eecs.berkeley.edu/
EPCC � Welcome To EPCC
EPCC unparalleled computing. You are here Home / Welcome to EPCC XMLDiff XML Scientific Comparison Tool; SPRINT (Simple Parallel R INTerface)
http://www.epcc.ed.ac.uk/
IPCA : Parallel : Environments : Pvm3
Archive of PVM-related tools and documentation.
http://wotug.kent.ac.uk/parallel/environments/pvm3/
Parallel Computing | Facebook
Welcome to the Facebook Community Page about Parallel computing, a collection of shared knowledge concerning Parallel computing.
http://www.facebook.com/pages/Parallel-computing/103750929663292
Parallel@Illinois - Parallel Computing Research And Education
Are you ready for the manycore future? It's only natural Illinois would help define the landscape of multicore processors. After all, parallel computing is in our blood.
http://www.parallel.illinois.edu/

Extractions: Lecture Series ... See all Parallel@Illinois Events It's only natural Illinois would help define the landscape of multicore processors. After all, parallel computing is in our blood. Over four decades ago, we began paving the way for parallel computing research and innovation. We invite you to explore how current research continues to position Illinois as a globally recognized leader in parallelism. Discover how Illinois educates and prepares current and future parallel computing experts. Learn how Illinois equips you to take full advantage of the manycore future. Connect with others who share your interests in parallel computing education and research.
XRDS: Crossroads, The ACM Magazine For Students
Article about choosing hardware and configuring a Beowulf.
http://www.acm.org/crossroads/xrds6-1/parallel.html

Extractions: document.documentElement.className += " js"; Cufon.replace('a.lev1'); Crossroads The ACM Magazine for Students Subscribe ... Puzzle Solutions Search Search About Read Now Read the latest issue of XRDS: MORE EVENTS ACM EVENTS 2010 ACM Award Nominations: Deadlines are fast approaching for the annual ACM Awards. Each year, ACM recognizes technical and professional achievements within the computing and information technology community through its celebrated Awards Program. Many awards have November 30, 2010 nomination deadlines, but some are as soon as September 30 Learn More Contact Us XRDS is a magazine for students, largely run by students. There are a number of ways to join and participate, from submitting an article or photo, to becoming an editor, to sending us news about what's happening with your ACM university chapter. About XRDS About the Editors Renew Membership Subscribe ... Advertise $("div.ad:contains('iframe')").css("background-color", "#e0e0e0");
Built-in Parallel Computing: New In Mathematica 7
Mathematica 7 is automatically set up for instant parallel computing on any multicore computer system.
http://www.wolfram.com/products/mathematica/newin7/content/BuiltInParallelComput

Extractions: Mathematica for Students ... Mathematica Mathematica 7 adds the capability for instant parallel computing. On any multicore computer system, Mathematica Mathematica Mathematica 's parallel infrastructure is set up to allow seamless scaling to networks, clusters, grids and clouds. Multicore parallelism standard with zero configuration on all versions of Mathematica Parallelize function for automatic parallelization of Mathematica code. Automatic parallel versions of iteration and functional operations. ParallelTry function for speculative parallelization. Flexible data parallelism functions built directly into the Mathematica language. Broadcast functions for separate evaluation on multiple subkernels. Automatic and tunable division of computations for parallel load balancing. Built-in concurrency primitives for full control of concurrent computations. Shared memory capabilities for symbols and functions. ... Full user interface for manual configuration of parallel architecture. Parallel debugging and profiling through Wolfram Workbench Built-in support for parallelism on homogeneous and heterogeneous networks and clusters. (Requires grid
The Beowulf HOWTO
of the Beowulf architecture and introduction to parallel computing.
http://en.tldp.org/HOWTO/Beowulf-HOWTO/
Amazon Web Services Blog: Parallel Computing With MATLAB On Amazon EC2
Nov 17, 2008 Mathworks released a whitepaper on how to run MATLAB parallel computing products Parallel Computing Toolbox and MATLAB Distributed
http://aws.typepad.com/aws/2008/11/parallel-comput.html

Extractions: Main Mathworks released a whitepaper on how to run MATLAB parallel computing products - Parallel Computing Toolbox and MATLAB Distributed Computing Server on Amazon EC2. This step by step guide walks you through the steps of installation, configuration and setting up clustered environments using these licensed products from MathWorks on Amazon EC2. It shows how you can create an AMI with MATLAB products bundled in and run them in the cloud.
IEEE Transactions On Parallel And Distributed Systems
Monthly peer-reviewed journal. Archives available to subscribers.
http://computer.org/tpds/

Extractions: The world's leading membership organization for computing professionals Home About Help Browse By Topic ... Login Search Searching... Advanced IEEE Transactions on Parallel and Distributed Systems (TPDS) is a scholarly archival journal published monthly. Parallelism and distributed computing are foundational research and technology to rapidly advance computer systems and their applications. Read more about TPDS Future many-core CMP designs that will integrate tens of processor cores on-chip will be constrained by area and power. Area constraints make impractical the use of a bus or a crossbar as the on-chip interconnection network, and tiled CMPs organized around a direct interconnection network will probably be the architecture of choice. Power constraints make impractical to rely on broadcasts (as, for example, Token-CMP does) or any other brute-force method for keeping cache coherence, and directory-based cache coherence protocols are currently being employed. Unfortunately, directory protocols introduce indirection to access directory information, which negatively impacts performance... View the PDF of this article View this issue in the digital library Editorial Editorial Editorial News TPDS's Most Cited Papers Per Year (Feb 2010) (PDF) Editorial Editor's Note: How to Write Research Articles in Computing and Engineering Disciplines by Ivan Stojmenovic (Feb 2010) Editorial Web Extra
HOISe
News on high performance computing from Europe. Newsletters and conference calendar.
http://www.hoise.com/
Paralell Computing
A scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die and a new generation grows up
http://www.personal.kent.edu/~rmuhamma/Parallel/parallel.html

Extractions: " A scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die and a new generation grows up that is familiar with it ." - Maxwell Planck Algorithms Compilers Computational Geometry Computer Architecture ... Operating Systems Interconnection Networks BSP Worldwide Coordinating Bulk Synchronous Parallel Computation. CODE Visual Parallel Programming System allows users to change a sequential programs into a parallel. Chemnitz Cluster Computing Homepage Links to programming projects, calls for papers, software and documentation, and other resources. Cluster Computing Info Centre Links to cluster management systems, environments, software, documents, conferences, and teaching slides. Concurrent Systems Links to research groups, parallel tools, journals, and conferences.
LYDIAN: An Extensible Educational AnimationEnvironment For Learning Distributed
A simulation and visualization environment for distributed algorithms.
http://www.cs.chalmers.se/~lydian/

Extractions: One area in which visualization techniques may be applied to enhance understanding of computer systems is the field of distributed algorithms. Lydian is a simulation and visualization environment for distributed algorithms that provides to the students an experimental environment to test and visualize the behaviour of distributed algorithms. It gives to the students the ability to create easily their own experiments and visualize the behaviour of the algorithms on their experiments. Lydian is easy to use and can also be extended. Last modified: Thu May 26 15:19:59 CEST 2005
Workshops On Languages And Compilers For Parallel Computing (LCPC)
This is the permanent home page for the Languages and Compilers for Parallel Computing (LCPC) workshop series. Since 1988, these workshops have annually
http://www.lcpcworkshop.org/

Extractions: for Parallel Computing The next workshop is: LCPC 2010 October 7-9, 2010, Rice University This is the permanent home page for the Languages and Compilers for Parallel Computing (LCPC) workshop series. Since 1988, these workshops have annually brought together leading researchers in the field to discuss current research and future directions. LCPC 2010 October 7-9, 2010, Rice University LCPC 2009 October 8-10, 2009, University of Delaware LCPC 2008 July 31 - August 2, 2008, University of Alberta LCPC 2007 October 11-13, 2007, Urbana, Illinois
The ANTS Load Balancing System
Source code and documentation.
http://unthought.net/antsd/

Extractions: This is an approach different from that of traditional Queue systems. A job is not queued, it is executed immediately if any suitable host (for the given job type) can be found. This makes the system suitable for execution of a large number of small jobs, such as compilers. A traditional queue system will often take up too much time managing it's queues, to allow tasks such as large-scale compilations to gain much speedup using it. While I originally built this software in my spare time, it was built for and is further maintained by my employer, Evalesco Systems ApS , the maker of the SysOrb Monitoring System The software is distributed under the terms GNU Public License. Get the software here: antsd-0.5.3.tar.gz
Free Online Parallel Computing Books :: FreeTechBooks.com
Parallel Computing The simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain results faster.
http://www.freetechbooks.com/parallel-computing-f60.html

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