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Distributed Supercomputing Laboratory  - http://www-fp.mcs.anl.gov/dsl/index.html  Argonne National Laboratory has recently established the Distributed Supercomputing Laboratory (DSL) within its Mathematics and Computer Science Division. The DSL is both a state-of-the-art experimental facility and a focal point for research and development at the intersection of high-performance computing and networking.  Berkeley NOW  - http://now.cs.berkeley.edu/  A project to make a network of workstations act as a distributed supercomputer. Research papers.  Condor Project Homepage  - http://www.cs.wisc.edu/condor/  The goal of the Condor project is to develop, implement, deploy, and evaluate mechanisms and policies that support High Throughput Computing (HTC) on large collections of distributively owned computing resources.  NIST Parallel Processing  - http://www.itl.nist.gov/div895/sasg/parallel/    Oxford Parallel  - http://www.comlab.ox.ac.uk/oucl/oxpara/opnfrm.htm  University of Oxford Parallel Applications Centre  Paderborn Center for Parallel Computing  - http://www.uni-paderborn.de/pc2/  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.  Parallel I/O Archive at Dartmouth  - http://www.cs.dartmouth.edu/pario/    UC Berkeley Millennium  - http://now.cs.berkeley.edu/Millennium/  The UC Berkeley Millennium project aims to develop and deploy a hierarchical campus-wide "cluster of clusters" to support advanced applications in scientific computing, simulation, and modelling. Millennium is a project of the Computer Science Division at the University of California, Berkeley.  Visualization of Parallel and Distributed Programs at GVU  - http://www.gvu.gatech.edu/gvu/softviz/parviz/  Georgia Institute of Technology, Georgia Tech, Visualization of Parallel and Distributed Programs Research, Graphics, Visualization, Usability, GVU Center  VUB Parallel Computing Laboratory  - http://parallel.vub.ac.be    Cluster Computing Resources  - http://www.dgs.monash.edu.au/~rajkumar/cluster/index.html  It contains a wealth of information relatest to cluster computing, parallel computing, high performance computing. It provides presentation slides on cluster computing, book information, how to build cluster. Worth surfing...  Microsoft Cluster Server Center  - http://www.nwnetworks.com/cluster.html  Welcome to Scott Schnoll's Microsoft Cluster Server Web Site, the largest collection of MSCS information on the web!  Design of Open Engineering Systems Laboratory  - http://does.eng.buffalo.edu  The DOES lab strives to find and develop fundamental scientific principles in design and to facilitate their application in practice and education.  High-Performance Computing Laboratory and The University of New Mexico  - http://hpc.eece.unm.edu/  Experimental Parallel Algorithmics and High-Performance Computing Laboratory at The University of New Mexico, directed by Prof. David A. Bader. Research interests include combinatorial problems and image processing applications.  Avalanche Scalable Parallel Processor Project  - http://www.cs.utah.edu/avalanche/  Developing a more efficient memory architecture for the HP PA 8000. Project information and papers.  MIT Alewife Project  - http://www.cag.lcs.mit.edu/alewife/  A large-scale multiprocessor that integrates both cache-coherent, distributed shared memory and user-level message-passing in a single integrated hardware framework. Papers available.  The Stanford FLASH Project  - http://www-flash.stanford.edu/  Flexible architecture for shared memory multiprocessor development.  D System  - http://www.cs.rice.edu/~dsystem/  Research into program analysis, code generation, and programming tools for data-parallel languages. Technical papers.  SHRIMP  - http://www.cs.princeton.edu/shrimp/html/communication.html  The Scalable High-performance Really Inexpensive Multi-Processor project investigates how to construct high-performance servers with a network of commodity PCs and commodity operating systems. Software and research papers.  Supercomputing Technologies Group  - http://theory.lcs.mit.edu/~supertech/  Research group at MIT. Contact information, description of current research, and full text of research papers available.  I-ACOMA  - http://iacoma.cs.uiuc.edu/  Illinois Aggressive Cache-Only Memory Project. Publications and links to related projects.  Wisconsin Multifacet Project  - http://www.cs.wisc.edu/multifacet/  Research to improve the performance of multiprocessor servers. Theses and other publications.  MIT LCS Parallel and Distributed Operating Systems  - http://www.pdos.lcs.mit.edu/  Research in operating systems, networking, mobile computing, language design, compiler design, and architecture. Links to specific projects.  Purdue's Adapter for Parallel Execution and Rapid Synchronization  - http://aggregate.org/TechPub/ICPP95/icpp95.html  Hardware to reduce latency in communication between nodes of a parallel computing cluster. Paper describes the performance and software interface.  PARADIGM  - http://www.crhc.uiuc.edu/Paradigm/  A parallelizing compiler that translates HPF to Fortran 77. Research papers.  QUID  - http://www.lri.fr/~gk/QUID/  Papers and links about research into efficient programming of hybrid parallel machines.  GVU - Conch Visualization package  - http://www.cc.gatech.edu/gvu/people/Undergrad/Brad.Topol/conchviz.html  Animation views developed for illustrating execution of parallel programs in cluster environments such as PVM & Conch Network Computing System.  PARMON  - http://www.cs.mu.oz.au/~raj//parmon/  Monitoring system for clusters. Research papers and user manual.  Parallel Parametric Modelling Engine  - http://www.csse.monash.edu.au/cluster/  Cluster designed specifically for large parametric modelling computations. Offers case studies and performance metrics.  NUMAchine  - http://www.eecg.toronto.edu/parallel/parallel/NUMA.Welcome.html  A shared memory multiprocessor architecture. Hardware description and documentation.