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| NIH | NCI Frederick Biomedical Supercomputing center | Budget Code: | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| The NCI Frederick Biomedical Supercomputing center's (FBSC) purpose is to provide high performance computing dedicated and available to the entire biomedical scientific community to develop basic knowledge for the diagnosis, treatment, understanding and prevention of cancer and other diseases. It employs advanced techniques in a fully integrated environment of workstations, mid-level, supercomputer and massively parallel computers connected by networks. Activities are concentrated in those areas of biomedical research computation that are too demanding to be pursued on conventional or immature computers. Primary concerns are structure determination by x-ray and magnetic resonance, structure prediction of nucleic acids and proteins, computational biochemistry and problems that arise from modern molecular biology. Genomic sequence analysis, molecular mechanics, ab initio chemistry, linkage analysis, image analysis and mathematical modeling are primary problem areas. High production algorithms are adapted to vector-multiprocessor and massively parallel systems, entirely new algorithms are developed and leading-edge computer science discoveries from the areas of computer vision, robotics, deterministic and non-deterministic, algorithms. |
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| Milestone Changes | Provide state of the art capabilities in a fully integrated high performance computing center. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| FY 1995 Actual Milestones | FY 1996 Estimated Milestones | FY 1997 Agency Requested Milestones | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Used computational and structure-based techniques to design novel inhibitors of enzymes implicated in AIDS, cancer, and tuberculosis.
Adapted algorithms for motif detection in genomes and molecular structures to several parallel computer architectures. Implemented client server technology to improve the system- investigator in interfaces. |
Continue to attract important areas of research for the application of high performance computing to health-related basic research.
Expand activities in the use of distributed, heterogeneous computing for problems such as molecular mechanical calculations. Provide expanded scalable computing such as workstation farms, and distributed batch computing queues for rapid throughput of smaller tasks. Evaluate the advanced computational hardware and software available for productive, forefront application, especially those architectures showing promise of proven balanced performance in a research production environment. |
Expand activities in high performance computing applications to molecular structure prediction of nucleic acids and proteins.
Apply computational chemistry to understanding of drug interactions with enzymes and nucleic acids as a basis for discovery of new drugs. Provide support for increasing numbers of users in extramural and intramural research in biomedical computing. |
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