Welcome to the CBIIT HPC Wiki! This page is actively under construction and will soon serve as a central hub to provide you with the latest developments and resources related to the CBIIT HPC Program. We look forward to serving you!
Table of Contents
HPC Program Background
HPC Thought Leaders Presentations
Communications
Strategic Collaborations
HPC Support Services
HPC Training and Education
Precision Oncology and Computing
Exploratory Computing
Cloud Services
Computing and Cancer Community Development
New Initiatives
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The High-Performance Computing Program Development effort aims to foster the expanded use of a high-performance computing ecosystem to accelerate advances in predictive oncology research and clinical applications. Both driven and enabled by the rapid growth rates of information collected and generated about cancer, the opportunity for ever increasing computational capability grows as the data is analyzed, explored and utilized to provide critical insight into cancer. The program aims to develop the computational and data science ecosystem by addressing critical needs in compute, data transfer, data management, exploration and education in these areas required to advance the mission of the NCI.
*For support inquiries, please contact us at nci-cbiit-hpc@list.nih.gov
Upcoming Events
CBIIT Guest Seminar
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Presentation synopsis: Advances in genomics and data analytics create new opportunities for cancer research and personalized medical treatment via large-scale federation of genomic, clinical, imaging and other data from many thousands of patients across institutions around the world. Despite these opportunities and promising early results, cancer research is often stymied by information technology barriers. One major barrier is a lack of tools for the reliable, secure, rapid, and easy transfer, sharing, and management of large collections of human data. In the absence of such tools, security and performance concerns often prevent sharing altogether or force researchers to resort to slow and error prone shipping of physical media. If data are received, timely analysis is further impeded by the difficulties inherent in verifying data integrity and managing who can access data and for what purpose. Dr. Foster will discuss how the mature Globus data management platform addresses these obstacles to discovery and explain how its intuitive, web-based interfaces enable use by researchers without specialized IT knowledge.
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