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| NIH | DCRT High Performance Biomedical Computing Program | Budget Code: | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| The goal of the Division of Computer Research and Technology (DCRT) High Performance Biomedical Computing Program is to make available to the NIH staff the benefits of high performance computing and communication systems in their scientific and clinical research efforts. To achieve this goal, DCRT determines which high performance parallel architectures are best for the classes of problems that arise in biomedical computing, develops parallel algorithms and computational techniques for advanced biomedical computing problems, and provides a high performance distributed computing environment that benefits the NIH staff in their scientific computing needs including the appropriate network and workstation technologies. DCRT is developing methods and algorithms for a number of biomedical applications that can benefit from computational speedup. These include image processing of electron micrographs, radiation treatment planning, medical imaging, protein and nucleic acid sequence analysis, human genetic linkage analysis, protein folding prediction, nuclear magnetic resonance spectroscopy, x-ray crystallography, quantum chemical methods, and molecular dynamics simulations. |
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| FY 1995 Actual Milestones | FY 1996 Estimated Milestones | FY 1997 Agency Requested Milestones | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Deployed and evaluated an IBM SP2 Scalable POWER parallel system capable of providing 15 GigaFLOPS for biomedical applications.
Continued developing parallel methods and algorithms for a variety of biomedical applications. Developed new parallel computing methods for reconstructing Positron Emission Tomography (PET) images. Developed a new parallel method for homologous biological sequence retrieval applications. Continued with the implementation of a distributed computing environment for radiation treatment planning including a prototype high-speed ATM network, workstations for image display, and a shared high performance parallel computer for three-dimensional dose calculations. |
Expand the IBM SP2 Scalable POWER parallel system initially deployed in FY 1995 for biomedical applications.
Continue to apply high performance parallel computing and communication methods to biomedical applications at NIH. Demonstrate a scalable parallel method for searching the conformational space of proteins to be used for predicting the three-dimensional structure of proteins from their amino acid sequence. Develop parallel software tools for NMR Spectroscopy and X- ray Crystallography. Continue to develop ATM network, multimedia workstation, and parallel computing technologies for medical imaging. Implement high-speed network connections to other high performance computer centers in the Washington, D.C. metropolitan area using ATM technology. |
Evaluate new scalable parallel architectures to determine if a new system should be obtained for biomedical applications at NIH.
Continue to apply high performance parallel computing and communication methods to biomedical applications at NIH. Continue to develop ATM network, multimedia workstation, and parallel computing technologies for medical imaging and scientific visualization. |
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