high-performance data storage and transmission over Wide Area Networks [Dart] to perform this function. Although many use cases use HPC in a batch processing style, some use cases, such as weather forecasting, may be on-line. Large jobs can use all of an HPC. Portal access sometimes is used for finding/searching-for results of calculations, and for limiting the actions of users. Communities prepare code that prioritizes work. Data from simulations published to a community to analyze. Sometimes a system needs to persist the data for reference. One approach to speeding up research is to run many simulations in parallel. OpenStack is becoming more popular. your own VM” sometimes must also be supported. “bring Sometimes: dev, test, production all on the same system. Commercial & Industry Use The increased adoption rate within the industrial and commercial sectors are becoming a significant driving force behind the evolution of HPC. Commercial applications require the processing and analysis of large amounts of data in sophisticated ways. "Big Data", databases, data mining Oil exploration Web search engines, web based business services Medical imaging and diagnosis Pharmaceutical design Financial and economic modeling Management of national and multi-national corporations Advanced graphics and virtual reality and networked video and multi-media technologies [Source: https://computing.llnl.gov/tutorials/parallel_comp/#Overview] Science and Engineering Use HPC’s are used to model complex problems in many areas that need massively parallel computation and throughput. Atmosphere, Earth, Environment Physics - applied, nuclear, particle, condensed matter, high pressure, fusion, photonics Bioscience, Biotechnology, Genetics Chemistry, Molecular Sciences Geology, Seismology Mechanical Engineering Electrical Engineering, Circuit Design, Microelectronics Computer Science, Mathematics
high-performance data storage and transmission over Wide Area Networks [Dart] to perform this function. Although many use cases use HPC in a batch processing style, some use cases, such as weather forecasting, may be on-line. Large jobs can use all of an HPC. Portal access sometimes is used for finding/searching-for results of calculations, and for limiting the actions of users. Communities prepare code that prioritizes work. Data from simulations published to a community to analyze. Sometimes a system needs to persist the data for reference. One approach to speeding up research is to run many simulations in parallel. OpenStack is becoming more popular. “bring your own VM” sometimes must also be supported. Sometimes: dev, test, production all on the same system. Commercial & Industry Use The increased adoption rate within the industrial and commercial sectors are becoming a significant driving force behind the evolution of HPC. Commercial applications require the processing and analysis of large amounts of data in sophisticated ways. "Big Data", databases, data mining Oil exploration Web search engines, web based business services Medical imaging and diagnosis Pharmaceutical design Financial and economic modeling Management of national and multi-national corporations Advanced graphics and virtual reality and networked video and multi-media technologies [Source: https://computing.llnl.gov/tutorials/parallel_comp/#Overview] Science and Engineering Use HPC’s are used to model complex problems in many areas that need massively parallel computation and throughput. Atmosphere, Earth, Environment Physics - applied, nuclear, particle, condensed matter, high pressure, fusion, photonics Bioscience, Biotechnology, Genetics Chemistry, Molecular Sciences Geology, Seismology Mechanical Engineering Electrical Engineering, Circuit Design, Microelectronics Computer Science, Mathematics
nist-high-performance-computing-security_draft.docx