Carleton University School of computing Science. Research labs focus on object oriented programming, software engineering, pervasive computing, networks, network security, parallel and distributed computing, algorithms, computer vision, database systems, graphics and multimedia, software agents, intelligent software and systems, knowledge representation, logic and functional programming, medical computing, natural language processing. http://www.scs.carleton.ca
Extractions: SCS News Headlines MSDNAA Software Available for SCS students The School of Computer Science is proud to announce an agreement with Microsoft Canada for direct student software download of many Microsoft products ( XP, .Net, Visio, etc). Carleton University is the first university in Canada that will offer this program. [ continue... New Multidisciplinary Programs Starting Fall 2004 the School of Computer Science will offer two new multidisciplinary streams in the Bachelor of Computer Science program: Bioinformatics and Psychology. These new streams, along with the existing Management and Business stream, supplement our usual program in computer science and software engineering with intensive training in an important application area for computer scientists. [ continue...
QPSF A consortium for the collaborative use and development of high performance computing (HPC) resources within the universities of Queensland, Australia. http://www.qpsf.edu.au/
Overview - Research / OSL @ UIUC The goal of the Illinois Open Systems Laboratory is to develop mechanisms to simplify the development of scalable parallel, distributed and mobile computing systems. http://www-osl.cs.uiuc.edu
Extractions: Research People Publications Utilities ... Available software packages The goal of the Illinois Open Systems Laboratory is to develop mechanisms to simplify the development of scalable parallel, distributed and mobile computing systems. Such systems are open to interactions with their environment, must satisfy real-time constraints, and often affect physical processes. The approach of the laboratory is multidisciplinary research is conducted in foundational models of concurrency, programming languages, and middleware Research in the laboratory is based on the actor model of concurrent computation ( see papers on foundations ). Actors are inherently autonomous computational objects which interact with each other by sending messages. Each actor has a unique name the activity of different actors is potentially parallel. Actor systems are highly dynamic: new actors may be created and names of actors exchanged. The model is very general: processes, sensors and actuators can be modelled as actors. Over the last decade, research in the group has developed a meta-architectural model for middleware. The model has been formalized and applied to dependable computing and software architecture. Programming abstractions have been developed to represent coordination constraints real-time and requirements. The Actor model has been extended to explicitly model mobility and bounded resources, thus providing a powerful formalism for
Parallel Computer Vision We are implementing a parallel version of the ISO standard Programmer s Imaging Kernel be done by George Gusciora at the Maui High Performance computing Center http://www-2.cs.cmu.edu/afs/cs/usr/webb/html/pcv.html
Extractions: Jon A. Webb 1. Introduction 2. Current Work 3. Future Work This project applies advanced, low-latency supercomputers to problems in computer vision. Click here for a photographic guide to the people in the lab (with huge images; not for the bandwidth-limited.) Early work led to the use of the Carnegie Mellon Warp machine in the Navlab robot vehicle. A Warp machine was mounted in Navlab and used for various tasks, including road following using color-based image segmentation, and also using the ALVINN neural-network system. The ALVINN work was particularly successful, because an important factor in developing the road following neural network was the availability of Warp to perform back propagation on large neural networks. More recent work has been centered around the iWarp computer developed jointly with Intel Corporation. An FTP directory of iWarp papers and iWarp home page are available. Managing large data structures. We (George Gusciora, Webb, and H. T. Kung) are studying how algorithms that manipulate large data structures can be mapped efficiently onto a distributed memory parallel computer, in a Ph.D. thesis expected in January 1994.
Ian Foster Argonne National Laboratory, University of Chicago Distributed computing, parallel tools, computational science. http://www-fp.mcs.anl.gov/~foster/
Extractions: You can buy it from Amazon . (Note that the reviews refer to the 1st edition.) Synopsis I lead computer science projects developing advanced distributed computing ("Grid") technologies, and computational science efforts applying these tools to problems in areas ranging from the analysis of data from physics experiments to remote access to earthquake engineering facilities. Talks, Opinion Pieces, Press
Parallel Crunchers News about cluster computing. http://www.parallelcrunchers.net/
Computing Department of computing. Research groups Information systems; AI; Distributive and parallel systems; Foundations of computing. http://www.computing.surrey.ac.uk/
Extractions: Home Undergraduate Postgraduate Research ... Courses Computing The Department of Computing offers degrees at undergraduate and postgraduate levels. These courses are designed both to equip students for challenging positions in the real world, and prepare them to pursue further postgraduate studies. Taught modules are in Computing and the innovative areas of Information Systems and Web Technologies. In addition students have the option of taking a professional training year, which is accepted as a first step towards Chartered Engineer (CEng) status. The department of Computing has two major research centres, the Centre for Knowledge Management and the Centre for Software Systems . Together they combine to cover the wide spectrum of computing research. The department is part of the RAE 5* School of Electronics, Computing and Mathematics. Centre for Knowledge Management Centre for Software Systems DEPT'S NEWS TIMES ONLINE:
ECS: University Of Southampton, Electronics And Computer Science Research groups Declarative systems and software engineering; Microelectronics; parallel and distributed computing; Communications; Image, speech and intelligent systems; Intelligence, agents, multimedia; Electrical power engineering; Electronic systems design. http://www.ecs.soton.ac.uk/
Extractions: Welcome to ECS. In the 2004 Times League Tables for University Departments, we were ranked first in the UK for Electronics and Electrical Engineering and third in the UK for Computer Science. We achieved 5* RAE research ratings in both areas and our research and teaching covers almost all aspects of these disciplines. In teaching we have been awarded the highest grades possible by the QAA For queries concerning ECS enrolment and registration, The ECS Student Adminstrative Services telephone number is ECS People
Saman Amarasinghe MIT Compiler optimizations, computer architectures, software engineering and parallel computing. http://www.cag.lcs.mit.edu/~saman/
Extractions: Saman Amarasinghe I am an Associate Professor in the Department of Electrical Engineering and Computer Science at Massachusetts Institute of Technology , and a member of the Computer Science and Artificial Intelligence Laboratory My office address is: The Stata Center, 32 Vassar Street, Cambridge MA (617) 253-1221 (Fax) saman@lcs.mit.edu My home address is: 86 Morton Street Waltham MA My Assistant: Maria Research Interests: Compiler optimizations, computer architectures, software engineering and parallel computing. I lead the Commit Group at LCS. I am also the co-leader of the Raw Project I am interested in creating appropriate technologies for developing nations, see the TEK Project. I was involved with the FusionScheme Project 6.035 Computer Language Engineering
Home Page Department of Electronics and Computer Science. Formerly the High Performance computing Centre (HPCC), the parallel and Distributed computing Group (PDC) and the Concurrent Computation Group. http://www.hpcc.ecs.soton.ac.uk/
Extractions: High Performance Computing Home Page Overview Slideshows People Contact ... Map Welcome to the High Performance Computing (HPC) Web Site. This site encompasses what was formerly the High Performance Computing Research Group, the High Performance Computing Centre, the Parallel and Distributed Computing Group and the Concurrent Computation Group. We are part of the DSSE Group in the Department of Electronics and Computer Science at the University of Southampton A General Overview of the HPC activity, aimed mainly at prospective postgraduate students and collaborators. HPC People Publications Cost of Sex - Simple Ecological Models and the Evolution of Sex Commodity Supercomputing National Lottery Research Slideshow Seminars 2001-2 ... Windows Clusters - Supported by Microsoft we run a Web site devoted to scientific cluster computing under Microsoft operating systems. HPCI Centre (Grand Challenge Support). Software and Training Note: These pages still require updating for our new web site. to the Highfield campus.
Ghosh, R. K. Indian Institute of Technology, Kanpur parallel Algorithms, Genetic Algorithms, Mobile computing, PVM, MPI, and Distributed Databases. http://www.cse.iitk.ac.in/~rkg/
DSE Group - Computing - Imperial College London Department of computing. Research on the software development process and software support environments, particularly for realtime, embedded, parallel and distributed systems. http://www-dse.doc.ic.ac.uk/
Extractions: Skip over navigation Quick Navigation Imperial home page A-Z of Departments Courses Research Alumni Faculty of Engineering Faculty of Life Sciences Faculty of Medicine Faculty of Physical Sciences Business School Spectrum (restricted to College users) People finder Help Note: Your browser does not support javascript or you have javascript turned off. Although this will not affect your accessibility to the content of this site, some of the advanced navigation features may not be available to you. Home Note: Some of the graphical elements of this site are only visible to browsers that support accepted web standards . The content of this site is, however, accessible to any browser or Internet device. Welcome to the Distributed Software Engineering Group of the Department of Computing, Imperial College London, UK.
David A. Bader Experimental parallel Algorithmics and HighPerformance computing Laboratory at The University of New Mexico, directed by Prof. David A. Bader. Research interests include combinatorial problems and image processing applications. http://hpc.eece.unm.edu/
Extractions: (with PI: B.M.E. Moret (U New Mexico); coPI's: D.A. Bader (U New Mexico), F. Berman (UC San Diego), P. Bourne (UC San Diego), M. Donoghue (Yale), D.M. Hillis (U Texas-Austin), W. Hunt (U Texas-Austin), J. Kim (U Pennsylvania), P. Lewis (U Connecticut), D. Maddison (U Arizona), W. Maddison (U Arizona), D. Miranker (U Texas-Austin), B. Mischler (UC Berkeley), L. Meyers (U Texas-Austin), E. Myers (UC Berkeley), S. Rao (UC Berkeley), S. Russell (UC Berkeley), D. Swofford (Florida State U), T. Warnow (U Texas-Austin), W. Wheeler (American Museum of Natural History), T. Williams (U New Mexico)); Information Technology Research (ITR) Program EF/BIO 03-31654 Algorithms for Irregular Discrete Computations on SMPs , (with B.M.E. Moret
PDCS-2004 17th International Conference on parallel and Distributed computing Systems. San Francisco, CA, USA; 1517 September 2004. http://multimedia.ece.uic.edu/pdcs2004/
Extractions: International Conference on Parallel and Distributed Computing Systems PDCS-2004 September 15-17, 2004 San Francisco CA USA Paper Submission Deadline has Expired Conference Chair Waleed S. Smari University of Dayton USA Programme Co-Chairs David A Bader Ashfaq A. Khokhar Univ. of New Mexico USA Voice: (505) 277-6724 dbader@ece.unm.edu Univ. of Illinois at Chicago Voice: (312) 413-9460 ashfaq@uic.edu Tutorials Chair Parimala Thulasiraman, University of Manitoba Canada thulasir@cs.umanitoba.ca Submission Guidelines for Tutorial Proposals Workshops Chair Frank Dehne, Carleton University Ottawa Canada http://www.dehne.net Submission Guidelines for workshops Proposals Scheduled Workshops Workshop on Scalable File Systems and Storage Technologies Programme Committee Submission Procedure Special Sessions ... Sponsors San Francisco, California Currently Scheduled Keynote speakers (More to Come) Gene Myers ( CS department UC-Berkeley) Date: September 15 Topic: Whole Genome Sequencing, Comparative Genomics, and Systems Biology Abstract: The whole-genome shotgun sequencing method with paired end-reads has proven rapid and economical, producing high-quality reconstructions of Drosophila (2000), Human (2001) and Mouse (2001), in quick succession. We discuss the overall algorithmic strategy, the results one can expect by comparing the whole genome assembly of Drosophila against the recently finished sequence, and advances such as high-density solid state sequencing and single molecule detection systems.
N. Petkov University of Groningen computational neuroscience, image processing, pattern recognition, computer vision, parallel and high pefomance computing, and systolic algorithms. http://www.cs.rug.nl/~petkov/petkov.html
Extractions: Nicolai Petkov is the author of two books and of further 90 scientific papers. He is member of the editorial boards of Journal of Neural, Parallel and Scientific Computations (Dynamic Publ.), Parallel Algorithms and Applications (Gordon and Breach) and Real-Time Imaging (Academic Press). My current research focusses on computer simulations of the visual system and the development of biologically motivated image pattern recognition methods. I use functional descriptions of different types of visual neuron in the cortex to develop computational models and image processing operators. This research aims at better understanding of the brain on the one hand and the development of effective computer vision algorithms on the other hand. In the image shown to the left, a triangle is superimposed on a grating of bars. While two of the triangle's legs are very salient, the third leg which coincides with one bar of the grating is not perceived as part of the triangle at all: our visual system groups it with the grating bars rather than with the other legs of the triangle. By means of computer simulations of the function of cells in the primary visual cortex we demonstrated that this perceptual effect is due to a neural mechanism known as non-classical receptive field inhibition or surround suppression. You can read more about this in
GVU Center -- /Conch Visualization Package Animation views developed for illustrating execution of parallel programs in cluster environments such as PVM Conch Network computing System. http://www.cc.gatech.edu/gvu/people/Undergrad/Brad.Topol/conchviz.html
Extractions: This project involves a set of animation views that we have developed for illustrating the execution of parallel programs in cluster environments such as PVM (Parallel Virtual Machine) and the Conch Network Computing System. The animations depict the the message passing properties of parallel applications that run in the above concurrent environments. We are in the process of providing a comprehensive system that provides animation and performance visualization support for PVM. The focus of the system will be providing a palatable framework for PVM users to create application specific animations and performance visualization. Included below are some sample preliminary views from the library that we have created for the Conch system. The visualization program is implemented using the POLKA Animation Designer's Package This view is a snapshot of our Conch Lamport view. It is a more complex version of a Feynman diagram. In this view, the Y-axis is labeled with process identifiers and the X-axis is labeled with Lamport clock values. When a message is sent, a circle appears at the appropriate logical time coordinate. Similar to the message passing view, varying circle radii are used to denote message size and the color of the circle is the same as that used in the history view. When a message is delivered, an arrow "grows" from the coordinate of where the message was sent to the correct Lamport delivery time on the receiver's timeline. Simultaneously, the circle representing the message moves along this path and then disappears. This view is similar to the history view in the information it provides, but is very useful when trying to distinguish communication patterns.
Quaglia, Francesco Universit di Roma Fault-tolerant distributed computing, parallel simulation and performance evaluation. http://www.dis.uniroma1.it/~quaglia/
David A. Bader's Parallel Sites, Sponsored By UMIACS IEEE Computer Society ParaScope. This site has moved to the following URL http//computer.org/parascope/ Please update your bookmarks. dbader@umiacs.umd.edu. . http://www.umiacs.umd.edu/~dbader/sites.html
Vas's M.Phil Chapter 7 Taxonomy parallel Computer Taxonomy, Wasel Chemij, MPhil, Aberystwyth University, 1994 It explains various published parallel computer taxonomies, and introduces a new 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. 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
Extractions: The Center for Advanced Computing (CAC) delivers high performance computing, grid infrastructure, very large data storage, and advanced visualization services through the College of Engineering and throughout the University of Michigan. Teamed with Michigan's MGRID, and as a primary resource partner of NPACI, our outreach extends both near and far.
