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NPAC computational resources offer a variety of most recent HPCC technologies. Although the structure of installed facilities is not geared toward high volume production needs, the Center offers considerable computing power. The real asset of the Center is however diversity of its resources. Infrastructure diversity matches the know-how of the variety of HPCC enabling technologies offered by NPAC human resources. NPAC resources are able to support almost every HPCC application and to provide testbeds for a multitude of computationally intensive projects.
The systems installed in NPAC can be broadly divided into 4 categories:
Besides of the internal resources, NPAC provides its employees and users with access to other HPCC sites, including CRPC sites in Argonne, Caltech, and Los Alamos. These sites offer large scale production machines that can be used to run the code developed locally on NPAC's facilities. At present, access to these sites is possible over Internet.
NPAC pursues a long-term policy of making its resources available for a broad community of academic and commercial users. Many of the modern applications require a bandwidth much higher than what is currently available. To achieve this goal, a regional alliance has been formed to implement the ATM-based high speed network. The network, NYNet, is being supported by NYNEX, one of the baby-Bell companies, and its ticipants include Cornell University, Syracuse University, Rome Laboratory, and Museum of Science and Technology in Syracuse in the Upstate New York, and Brookhaven National Laboratory, SUNY Stonybrook, Columbia University, Brooklyn Polytechnique, and NYNEX Science and Technology Center in Downstate New York. Parts of the network have beeen operational since mid--October `93; it is expected to be fully operational in April `94. Starting from OC-3 level in October `93, the network will offer OC-12 capability in 1994. NYNet will offer high speed access to most of the NPAC resources (see Networking section below) and will allow for extensive experiments in wide area distributed computing involving resources of the computing centers in all participating institutions.
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