{ "data": [ { "id": "1", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "Allocation Programs and Science Gateways", "Name": "ASCR (Advanced Scientific Computing Research) Leadership Computing Challenge (ALCC)", "ResourceLink": "https://science.osti.gov/ascr/Facilities/Accessing-ASCR-Facilities/ALCC", "Description": "The ALCC is an allocation program for projects of interest to the Department of Energy (DOE), with an emphasis on high-risk, high-payoff scientific campaigns enabled via high-performance computing in areas directly related to the DOE mission, that respond to national emergencies, or that broaden the community of researchers capable of using leadership computing resources.\nALCC is currently soliciting proposals for allocation awards for the 2023-2024 allocation year. HPC platforms available for the current allocation cycle include Frontier, the new exascale system at the Oak Ridge Leadership Computing Facility (OLCF); early access on Aurora, the new exascale system at the Argonne Leadership Computing Facility (ALCF); Polaris, a new 44-petaflop accelerated system at ALCF; 6-month allocations on Theta at ALCF; and Perlmutter, a new accelerated system at the National Energy Research Scientific Computing Center (NERSC). Up to thirty percent of the allocatable computing time will be made available on each of these machines to the ALCC program.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "2", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "Allocation Programs and Science Gateways", "Name": "The Innovative and Novel Computational Impact on Theory and Experiment (INCITE)", "ResourceLink": "https://www.alcf.anl.gov/science/incite-allocation-program", "Description": "Allocation program supporting open science. Open to researchers from academia, government laboratories, and industry, the INCITE program aims to accelerate scientific discoveries and technological innovations by awarding, on a competitive basis, time on supercomputers to researchers with large-scale, computationally intensive projects that address “grand challenges” in science and engineering. INCITE proposals are accepted between mid-April and mid to late June. The program conducts a two-part review of all proposals: a peer review by an international panel of experts and a computational-readiness review. The annual call for proposals is issued in April and the allocations are awarded for one to three years.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "3", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "Allocation Programs and Science Gateways", "Name": "Energy Research Computing Allocations Process (ERCAP)", "ResourceLink": "https://www.nersc.gov/users/accounts/allocations/request-form/", "Description": "Allocation program supporting DOE Office of Science projects. Initial requests to use National Energy Research Scientific Computing Center resources can be submitted any time, and renewals for approved projects are required annually. Allocation requests are made via a web form known as the ERCAP.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "4", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "HEC-connected technology transfer, licensing, and industry engagements", "Name": "Accelerating Competitiveness through Computational Excellence (ACCEL) ", "ResourceLink": "https://www.olcf.ornl.gov/about-olcf/accel/", "Description": "ACCEL is an Oak Ridge National Laboratory program that is helping start-up companies to Fortune 500 giants supercharge their competitiveness through access to world class computational resources and expertise not available elsewhere. These firms are gaining hands-on experience applying advanced computational tools to their problems and realizing bottom line business benefits. In today’s highly interconnected global economy, market leaders know that high performance computing is a critical ingredient in the recipe for competitive success. Modeling, simulation, visualization, and large scale data analysis with high performance compuitng accelerate innovation while lowering its risk, resulting in lower costs, faster time to market and increased revenue.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "5", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "HEC-connected technology transfer, licensing, and industry engagements", "Name": "Argonne Leadership Computing Facility (ALCF) Industry Partnerships", "ResourceLink": "https://www.alcf.anl.gov/community-and-partnerships/industry", "Description": "Equipped with advanced capabilities for simulation, data, and machine learning, ALCF supercomputers help companies expedite R&D efforts for many applications, including combustion engines, novel materials for energy and medicine, and fusion energy devices, to name a few. With access to ALCF systems and expertise, industry researchers can create higher-fidelity models, achieve more accurate predictions, and quickly analyze massive amounts of data. The results enable companies to accelerate critical breakthroughs, verify uncertainties, and drastically reduce or eliminate the need to build multiple prototypes. Ultimately, industry partnerships with the ALCF help to strengthen the nation’s innovation infrastructure and expand the use of high performance computing resources to improve competitiveness. To broaden this impact, the ALCF Industry Partnerships Program is focused on growing the facility’s community of industry users by engaging prospective companies of all sizes, from start-ups to Fortune 500 corporations, that could benefit from the facility’s leadership computing resources and leverage ALCF expertise.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "6", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "HEC-connected technology transfer, licensing, and industry engagements", "Name": "National Energy Research Scientific Computing Center (NERSC) Industry Partnerships", "ResourceLink": "https://www.nersc.gov/research-and-development/partnerships/", "Description": "Scientific computing is an increasingly important ingredient in technological innovation. The same high performance computing capabilities that enable scientific discovery can be powerful tools in energy resource modeling, device simulation, and model-based design. Through allocation programs described below, NERSC partners with researchers in public and private sectors to develop new capabilities in modeling, simulation, and data analytics. Thousands of scientists from national labs, academia, and industry use NERSC. With decades of experience in providing advanced scientific computing and data services to Office of Science funded teams NERSC also partners with public and private sector researchers to advance HPC capabilities and their impact.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "7", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "HEC-connected technology transfer, licensing, and industry engagements", "Name": "Office of Science Laboratory Policy ", "ResourceLink": "https://science.osti.gov/lp/Strategic-Partnership-Projects", "Description": "The DOE national laboratories are available to conduct work for other Federal agencies and non-Federal customers on a 100% reimbursable basis. This work uses laboratory personnel and/or facilities; pertains to the mission of the laboratory; does not conflict or interfere with the achievement of DOE program objectives; does not place the laboratory in direct competition with the domestic private sector; and does not create a potential future burden on DOE resources.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "8", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "Fellowships and Training", "Name": "Argonne Training Program on Extreme-Scale Computing (ATPESC)", "ResourceLink": "https://extremecomputingtraining.anl.gov/ ", "Description": "ATPESC provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "9", "Department": "Department of Energy", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "HEC-connected technology transfer, licensing, and industry engagements", "Name": "Office of Technology Transitions (OTT)", "ResourceLink": "https://www.energy.gov/technologytransitions/office-technology-transitions", "Description": "The OTT serves as the central hub for the technology transfer activities across the DOE’s extensive R&D enterprise. The Mission of the OTT is to expand the public impact of the department's research, development, demonstration, and deployment (RDD&D) portfolio to advance the economic, energy and national security interests of the nation. OTT is the front door to DOE's products, facilities and expertise. The office integrates \"market pull\" into its planning to ensure the greatest return on investment from DOE's RDD&D activities to the taxpayer. Hosting one of the world's largest science research enterprises, DOE helps power and secure America's future through technological advancement and strategic support. DOE's RDD&D capabilities, and the innovations they enable, help maintain the United States' role as the global leader in science and technology. In particular, technology transfer supports the maturation and deployment of DOE-powered innovation, providing ongoing economic, security and environmental benefits for all Americans.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "10", "Department": "Department of Energy", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "HEC-connected technology transfer, licensing, and industry engagements", "Name": "Small Business Innovation Research - Small Business Technology Transfer (SBIR-STTR)", "ResourceLink": "https://www.energy.gov/science/sbir/small-business-innovation-research-and-small-business-technology-transfer", "Description": "SBIR-STTR programs are U. S. Government programs, intended to help certain small businesses conduct R&D. At DOE, funding takes the form of grants. Projects must have the potential for commercialization and meet specific DOE mission-specific R&D needs.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "11", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "Fellowships and Training", "Name": "Office of Science Graduate Student Research Program (SCGSR)", "ResourceLink": "https://science.osti.gov/wdts/scgsr", "Description": "The goal of the SCGSR program is to prepare graduate students for science, technology, engineering, or mathematics careers critically important to the DOE Office of Science mission, by providing graduate thesis research opportunities at DOE laboratories.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "12", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "Fellowships and Training", "Name": "Sustainable Research Pathways (SRP) @Berkeley Lab", "ResourceLink": "https://shinstitute.org/sustainable-research-pathways/", "Description": "Since 2015, Sustainable Horizons Institute and Lawrence Berkeley National Laboratory (Berkeley Lab) partnered on an innovative idea to increase the breadth and quality of the Computing Sciences workforce. This idea led to the development of SRP. The program originated as a method of connecting scientists from underrepresented groups (minorities, women, people with disabilities, first generation scholars, and smaller colleges and universities) with staff scientists to encourage the formation of research collaborations.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "13", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "Reports Studies and Other Publications", "Name": "Advanced Scientific Computing Research (ASCR) Program Documents", "ResourceLink": "https://science.osti.gov/ascr/Community-Resources/Program-Documents", "Description": "ASCR Program Documents: Relevant articles, plans, and ASCR-sponsored workshop reports. The ASCR program leads the nation and the world in supercomputing, advanced networking and state-of-the-art research in computer science, mathematics and computational science. ASCR’s coordinated research efforts directed at exploiting the incredible power of high performance computing allow the scientists to solve the Nation’s most pressing grand challenge problems in energy, climate change and human health. These discoveries will help shape our understanding of the universe, bolster US economic competitiveness, and contribute to a better future.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "14", "Department": "Department of Energy", "Agency": "Office of Science", "LogoLink": "/data-tables/hecportal/logos/logo-doe.png", "TypeofResource": "Allocation Programs and Science Gateways", "Name": "National Energy Research Scientific Computing Center (NERSC) Science Gateways", "ResourceLink": "https://portal.nersc.gov/", "Description": "A science gateway is a web-based interface to access high performance computing (HPC) computers and storage systems. Gateways allow science teams to access data, perform shared computations, and generally interact with NERSC resources over the web. Common gateway goals are to improve ease of use in HPC so that more scientists can benefit from NERSC resources, to create collaborative workspaces around data and computing for science teams that use NERSC, to make your data accessible and useful to the broader scientific community. NERSC science gateways bring the work of our users to collaborators and the world. Many are open access; others require a login. ", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "15", "Department": "Defense Advanced Research Projects Agency", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-darpa.png", "TypeofResource": "HEC-connected technology transfer, licensing, and industry engagements", "Name": "DARPA Toolbox", "ResourceLink": "https://www.darpa.mil/work-with-us/darpa-toolbox-initiative", "Description": "DARPA Toolbox is an Agency-wide effort to provide open licensing opportunities with commercial technology vendors to the researchers behind DARPA programs. DARPA Toolbox provides easy, low-cost, scalable access to state-of-the-art tools and intellectual property (IP), some of which could be used for developing high-end computing components.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "16", "Department": "National Institutes of Health", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nih.png", "TypeofResource": "Allocation Programs and Science Gateways", "Name": "Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative", "ResourceLink": "https://datascience.nih.gov/strides", "Description": "The NIH STRIDES Initiative allows NIH to explore the use of cloud environments to streamline NIH data use by partnering with commercial providers. NIH’s STRIDES Initiative aims to modernize biomedical research by reducing economic and process barriers in utilizing commercial cloud services. These partnerships enable access to rich datasets and advanced computational infrastructure, tools, and services. The STRIDES Initiative is one of many NIH-wide efforts to implement the NIH Strategic Plan for Data Science, which provides a roadmap for modernizing the NIH-funded biomedical data science ecosystem. Data generated via biomedical research continues to outpace the ability to process, store, and analyze in many local environments. NIH’s STRIDES Initiative aims to modernize biomedical research by reducing economic and process barriers in utilizing commercial cloud services. These partnerships enable access to rich datasets and advanced computational infrastructure, tools, and services.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "17", "Department": "National Institutes of Health", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nih.png", "TypeofResource": "Fellowships and Training", "Name": "Data and Technology Advancement (DATA) National Service Scholar Program", "ResourceLink": "https://datascience.nih.gov/data-scholars-2023", "Description": "The  DATA National Service Scholar Program provides a one to two year sabbatical at NIH for experienced data and computer scientists and engineers to tackle challenging biomedical data problems with the potential for substantial public health impact.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "18", "Department": "National Science Foundation", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nsf.png", "TypeofResource": "Reports Studies and Other Publications", "Name": "NSF/Institute of Electrical and Electronics Engineers Technical Community on Parallel Processing (IEEE-TCPP) Curriculum Initiative on Parallel and Distributed Computing - Core Topics for Undergraduates", "ResourceLink": "https://tcpp.cs.gsu.edu/curriculum/?q=home", "Description": "The report contains the core topics in parallel and distributed computing that a student graduating with a Bachelor's degree in Computer Science or Computer Engineering is expected to have covered.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "19", "Department": "National Science Foundation", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nsf.png", "TypeofResource": "Fellowships and Training", "Name": "Blue Water Graduate Fellowship", "ResourceLink": "https://bluewaters.ncsa.illinois.edu/fellowships", "Description": "Blue Waters Graduate Fellowships provide PhD students with a year of support, including a $38,000 stipend, up to $12,000 in tuition allowance, an allocation of up to 50,000 node-hours on the powerful Blue Waters petascale computing system, and funds for travel to a Blue Waters-sponsored symposium to present research progress and results.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "20", "Department": "National Science Foundation", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nsf.png", "TypeofResource": "HEC-connected technology transfer, licensing, and industry engagements", "Name": "NSF Innovation Corps (I-Corps)", "ResourceLink": "https://www.nsf.gov/news/special_reports/i-corps/", "Description": "The NSF I-Corps program prepares scientists and engineers to extend their focus beyond the university laboratory, and accelerates the economic and societal benefits of NSF-funded, basic-research projects that are ready to move toward commercialization. Through I-Corps, NSF grantees learn to identify valuable product opportunities that can emerge from academic research, and gain skills in entrepreneurship through training in customer discovery and guidance from established entrepreneurs.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "21", "Department": "National Science Foundation", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nsf.png", "TypeofResource": "Fellowships and Training", "Name": "Research Experience for Undergraduate students (REU)", "ResourceLink": "https://www.nsf.gov/crssprgm/reu/reu_search.jsp", "Description": "NSF funds a large number of research opportunities for undergraduate students through its REU Sites program. An REU Site consists of a group of ten or so undergraduates who work in the research programs of the host institution. Each student is associated with a specific research project, where he/she works closely with the faculty and other researchers. Students are granted stipends and, in many cases, assistance with housing and travel. Undergraduate students supported with NSF funds must be citizens or permanent residents of the United States or its possessions. An REU Site may be at either a US or foreign location.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "22", "Department": "National Science Foundation", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nsf.png", "TypeofResource": "HEC-connected technology transfer, licensing, and industry engagements", "Name": "Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) Resource Provider Forum", "ResourceLink": "https://operations.access-ci.org/pub/rpf", "Description": "The national cyberinfrastructure ecosystem is powered by a broad set of Resource Providers (RP). RPs are projects or organizations that provide cyberinfrastructure services to the science and engineering community. The ACCESS Resource Provider Forum consists of RPs that are autonomous entities that agree to coordinate with ACCESS and each other to varying degrees. The ACCESS Resource Provider Forum may also include other non-service provider organizations.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "23", "Department": "Department of Defense", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-dod.png", "TypeofResource": "Fellowships and Training", "Name": "Student Programs", "ResourceLink": "https://apply.intelligencecareers.gov/student-tiles", "Description": "The Intelligence Community (IC) is a group of 17 federal intelligence agencies working together to protect the United States of America. The IC offers students a wide variety of excellent programs to get a jumpstart on a career in intelligence. The IC employes thousands of professionals in a wide variety of occupations. Browser IC career fields to learn more about how your talents can contribute to national security.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "24", "Department": "Department of Defense", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-dod.png", "TypeofResource": "HEC-connected technology transfer, licensing, and industry engagements", "Name": "NSA Technology Transfer Program (TTP)", "ResourceLink": "https://www.nsa.gov/Research/Technology-Transfer-Program/", "Description": "The NSA TTP facilitates the sharing of innovations and capabilities between NSA and industry, academia, and other government agencies, benefitting the economy and the Agency mission. The program has an extensive portfolio of patented NSA technologies available for license across multiple technology areas.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "25", "Department": "Department of Defense", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-dod.png", "TypeofResource": "Fellowships and Training", "Name": "Engineering and Physical Science Research Open Positions", "ResourceLink": "https://www.intelligencecareers.gov/job-exploration-tool", "Description": "Learn more about Intelligence Community careers that may fit your background and interests. A listing of open engineering and physical science research positions. Positions will likely require U.S. citizenship.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "26", "Department": "National Aeronautics and Space Administration", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nasa.png", "TypeofResource": "Fellowships and Training", "Name": "NASA Internship", "ResourceLink": "https://intern.nasa.gov/", "Description": "This site allows students to search and apply for all types of higher-education NASA internship, fellowship and scholarship opportunities in one location. NASA Internships are competitive awards to support educational opportunities that provide unique NASA-related research and operational experiences for high school, undergraduate, and graduate students, as well as educators. These opportunities serve students by integrating interns with career professionals emphasizing mentor-directed, degree-related tasks, while contributing to the operation of a NASA facility or the advancement of NASA's missions. NASA Fellowships are competitive awards to support independently conceived or designed research, or senior design projects by highly qualified faculty, undergraduate, and graduate students, in disciplines needed to help advance NASA's missions, thus affording them the opportunity to directly contribute to advancements in STEM-related areas of study. Our Fellowship opportunities are focused on innovation, and generate measurable research results that contribute to NASA's current and future science and technology goals. NASA International Interns (I2) are university undergraduate or graduate students, who are non-US citizens, nominated by the NASA I2foreign partners to participate in the project. Interns must have expertise and background in technical areas of interest to NASA. Each partnering country first identifies an appropriate office or agency, usually a national space agency or other governmental partner, such as a Ministry of Education to administer NASA I2 in that country. That entity then signs an international reimbursable Space Act Agreement with NASA.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "27", "Department": "National Aeronautics and Space Administration", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nasa.png", "TypeofResource": "Reports Studies and Other Publications", "Name": "Evaluating the Suitability of Commercial Clouds for NASA's High Performance Computing Applications: A Trade Study", "ResourceLink": "https://www.nas.nasa.gov/assets/pdf/papers/NAS_Technical_Report_NAS-2018-01.pdf", "Description": "NASA Advanced Supercomputing Divison (NAS) Technical Report NAS-2018-01: Evaluating the Suitability of Commercial Clouds for NASA's High Performance Computing Applications: A Trade Study. (S. Chang , R. Hood , H. Jin , S. Heistand , J. Chang , S. Cheung , J. Djomehri , G. Jost , D. Kokron, NASA Advanced Supercomputing Division, NASA Ames Research Center). Executive Summary: \"NASA's High-End Computing Capability (HECC) Project is periodically asked if it could be more cost effective through the use of commercial cloud resources. To answer the question, HECC's Application Performance and Productivity (APP) team undertook a performance and cost evaluation comparing three domains: two commercial cloud providers, Amazon and Penguin, and HECC's in-house resources-the Pleiades and Electra systems. In the study, the APP team used a combination of the NAS Parallel Benchmarks (NPB) and six full applications from NASA's workload on Pleiades and Electra to compare performance of nodes based on three different generations of Intel Xeon processors-Haswell, Broadwell, and Skylake...\"", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "28", "Department": "National Aeronautics and Space Administration", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nasa.png", "TypeofResource": "Allocation Programs and Science Gateways", "Name": "NASA Earth Exchange (NEX)", "ResourceLink": "https://www.nasa.gov/nex/access", "Description": "The NEX represents a new platform for the Earth science community that provides a mechanism for scientific collaboration and knowledge sharing. NEX combines state-of-the-art supercomputing, Earth system modeling, workflow management, NASA remote sensing data feeds, and a knowledge sharing platform to deliver a complete work environment in which users can explore and analyze large datasets, run modeling codes, collaborate on new or existing projects, and quickly share results among the Earth Science communities. The work environment provides NEX members with community supported modeling, analysis and visualization software in conjunction with datasets that are common to the Earth systems science domain. By providing data, software, and large-scale computing power together in a flexible framework, NEX reduces the need for duplicated efforts in downloading data, developing pre-processing software tools, and expanding local compute infrastructures, while accelerating fundamental research, development of new applications, and reducing project costs. The web-based knowledge sharing platform provides a forum for NEX members to efficiently share datasets, results, algorithms, codes, and expertise with other members. Since all members' work environments reside on the collaborative platform, sharing may be done without the transfer of large volumes of data or the porting of complex codes, making NEX an ideal platform for enhancing existing research, exchanging new ideas and fostering innovation. NEX combines state-of-the-art supercomputing, Earth system modeling, and NASA remote sensing data feeds to deliver a work environment for exploring and analyzing terabyte- to petabyte-scale datasets covering large regions, continents or the globe. ", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "29", "Department": "National Aeronautics and Space Administration", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nasa.png", "TypeofResource": "Allocation Programs and Science Gateways", "Name": "NASA High-End Computing Capability (HECC)", "ResourceLink": "https://www.nas.nasa.gov/hecc/about/hecc_portfolio.html", "Description": "The HECC Portfolio provides world-class high-end computing, storage, and associated services to enable NASA-sponsored scientists and engineers supporting NASA programs to broadly and productively employ large-scale modeling, simulation, and analysis to achieve successful mission outcomes.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "30", "Department": "National Aeronautics and Space Administration", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-nasa.png", "TypeofResource": "Allocation Programs and Science Gateways", "Name": "NASA Center for Climate Simulation (NCCS)", "ResourceLink": "https://www.nccs.nasa.gov/", "Description": "The NCCS provides high performance computing for NASA-sponsored scientists and engineers. Their integrated set of computational capabilities includes High Performance Computing, Cloud Computing, Analytics, Data Sharing and Tools, Visualization, and Climate Data Services.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "31", "Department": "National Oceanic and Atmospheric Administration", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-noaa.png", "TypeofResource": "Fellowships and Training", "Name": "NOAA Office of Education", "ResourceLink": "http://www.noaa.gov/office-education/grants/", "Description": "The Office of Education supports formal, informal and non-formal education projects and programs through competitively awarded grants and cooperative agreements to a variety of educational institutions and organizations within the United States.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "32", "Department": "National Oceanic and Atmospheric Administration", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-noaa.png", "TypeofResource": "Fellowships and Training", "Name": "NOAA Student Opportunities", "ResourceLink": "http://www.noaa.gov/opportunities/student-opportunities", "Description": "The Student Opportunities website is designed to provide information about educational opportunities that are available throughout NOAA. Information on scholarships, internships and fellowships including a brief description of each program.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "33", "Department": "Department of Defense", "Agency": "", "LogoLink": "/data-tables/hecportal/logos/logo-dod.png", "TypeofResource": "Reports Studies and Other Publications", "Name": "Findings of the 2nd Photonics and Electronics Technology for Extreme Scale Computing Workgroup (REPETE)", "ResourceLink": "https://www.nitrd.gov/documents/REPETE-2020.pdf", "Description": "To inform research activities in high performance computing (HPC) interconnect of strategic importance to the United States Government beyond 2018, In January of 2018, the Department of Defense sponsored the 2nd REPETE workgroup. REPETE investigated new challenges in the area of HPC interconnect inspired by technology trends and challenges of vital importance to USG stakeholders. The REPETE working group was a collaboration of government, academic, and commercial researchers in HPC system interconnect and system architecture. The consensus findings, key conclusions and recommendations are detailed in this report.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "34", "Department": "Office of Science and Technology Policy", "Agency": "National Science and Technology Council, Subcommittee on Future Advanced Computing Ecosystem", "LogoLink": "/data-tables/hecportal/logos/logo-nstc.png", "TypeofResource": "Reports Studies and Other Publications", "Name": "Pioneering The Future Advanced Computing Ecosystem: A Strategic Plan", "ResourceLink": "https://www.nitrd.gov/pubs/Future-Advanced-Computing-Ecosystem-Strategic-Plan-Nov-2020.pdf", "Description": "This strategic plan envisions a future advanced computing ecosystem that provides the foundation for continuing American leadership in science and engineering, economic competitiveness, and national security. It develops a whole-of-nation approach based on input from government, academia, nonprofits, and industry sectors, and builds on the objectives and recommendations of the \"2019 National Strategic Computing Initiative Update: Pioneering the Future of Computing\". This strategic plan also identifies agency roles and responsibilities and describes essential operational and coordination structures necessary to support and implement its objectives.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "35", "Department": "Office of Science and Technology Policy", "Agency": "National Science and Technology Council, Networking and Information Technology Research and Development Subcommittee; Subcommittee on Future Advanced Computing Ecosystem", "LogoLink": "/data-tables/hecportal/logos/logo-nstc.png", "TypeofResource": "Reports Studies and Other Publications", "Name": "Future Advanced Computing Ecosystem Strategic Plan FY2022 Implementation Roadmap", "ResourceLink": "https://www.nitrd.gov/pubs/FACE-SP-FY22-Implementation-Roadmap.pdf", "Description": "The national advanced computing ecosystem is an essential strategic asset for our Nation's economy and security, for scientific and engineering discovery and innovation, and for implementing solutions to current and future challenges such as the COVID-19 pandemic, climate change, and development of sustainable energy. The 2020 NSTC report, Pioneering the Future Advanced Computing Ecosystem: A Strategic Plan, laid out a vision for a Future Advanced Computing Ecosystem (FACE) and the objectives and initial planning necessary to achieve the vision. The FACE strategic plan, like the 2019 National Strategic Computing Initiative (NSCI) Strategic Plan before it, focused on strategic objectives and outlined potential execution directions, leaving details to subsequent implementation plans such as outlined in this document. This Implementation Roadmap provides details of the research and development (R&D) activities that Federal agencies are currently planning to implement in fiscal year 2022 and beyond to meet the four objectives and the various subobjectives of the FACE Strategic Plan.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "36", "Department": "Office of Science and Technology Policy", "Agency": "National Science and Technology Council, Networking and Information Technology Research and Development Subcommittee", "LogoLink": "/data-tables/hecportal/logos/logo-nitrd.png", "TypeofResource": "Reports Studies and Other Publications", "Name": "Workshop Report on Software in the Era of Extreme Heterogeneity", "ResourceLink": "https://www.nitrd.gov/pubs/HEC-SPSQ-IWGs-Software-in-Era-Extreme-Heterogeneity-Workshop-Report.pdf", "Description": "The NITRD High End Computing (HEC) and Software Productivity, Sustainability, and Quality (SPSQ) Interagency Working Groups (IWGs) held a joint workshop on \"Software in an Era of Extreme Heterogeneity\" September 22–24, 2020, to explore the advanced computing landscape and the accompanying software development challenges and opportunities for the next 5–10 years. The state of HEC technology is rapidly changing because of the need to introduce a variety of unfamiliar hardware solutions to increase performance. This increasing hardware heterogeneity is exacerbated by memory, interconnect, and file input/output performance lagging behind computational capabilities, thus leading to substantial demands on the programming environment to keep pace. The workshop brought together thought leaders from industry, academia, and the Federal agencies over a 3-day period to look at challenges imposed by extreme heterogeneity of emerging and future computational platforms and how the software and community must evolve to respond to the challenges being placed on HEC software development and sustainment.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "37", "Department": "Office of Science and Technology Policy", "Agency": "National Science and Technology Council, Networking and Information Technology Research and Development Subcommittee", "LogoLink": "/data-tables/hecportal/logos/logo-nitrd.png", "TypeofResource": "Reports Studies and Other Publications", "Name": "Paper on High End Computing (HEC) Software\nSustainability Efforts: Examples of Federal\nActivities", "ResourceLink": "https://www.nitrd.gov/pubs/HEC-Software-Sustainability-Efforts-2023.pdf", "Description": "This paper highlights some examples of activities that Federal agencies are undertaking to address the HEC software sustainability issues to benefit a wide spectrum of stakeholders.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "38", "Department": "Office of Science and Technology Policy", "Agency": "National Science and Technology Council, Subcommittee on Future Advanced Computing Ecosystem", "LogoLink": "/data-tables/hecportal/logos/logo-nstc.png", "TypeofResource": "Reports Studies and Other Publications", "Name": "National Strategic Computing Reserve: A Blueprint", "ResourceLink": "https://www.nitrd.gov/pubs/National-Strategic-Computing-Reserve-Blueprint-Oct2021.pdf", "Description": "This report outlines a Federal proposal for setting up a National Strategic Computing Reserve (NSCR) that can be called on in times of national crisis to rapidly activate a multisector advanced computing reserve infrastructure that can speed solutions, and it defines a blueprint for operational and coordination structures that will support an NSCR implementation. The formation of the NSCR suggested in this document is based on the U.S. experience in 2020 of initiating and operating the COVID-19 High Performance Computing Consortium and a public Request for Information on Potential Concepts and Approaches for an NSCR.", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" }, { "id": "39", "Department": "Office of Science and Technology Policy", "Agency": "National Science and Technology Council, Networking and Information Technology Research and Development Subcommittee", "LogoLink": "/data-tables/hecportal/logos/logo-nitrd.png", "TypeofResource": "Reports Studies and Other Publications", "Name": "Workshop report on The Convergence of High Performance Compuitng, Big Data, and Machine Learning", "ResourceLink": "https://www.nitrd.gov/pubs/Convergence-HPC-BD-ML-JointWSreport-2019.pdf", "Description": "The high performance computing (HPC) and big data (BD) communities traditionally have pursued independent trajectories in the world of computational science. HPC has been synonymous with modeling and simulation, and BD with ingesting and analyzing data from diverse sources, including from simulations. However, both communities are evolving in response to changing user needs and technological landscapes. Researchers are increasingly using machine learning (ML) not only for data analytics but also for modeling and simulation; science-based simulations are increasingly relying on embedded ML models not only to interpret results from massive data outputs but also to steer computations. Science-based models are being combined with data-driven models to represent complex systems and phenomena. There also is an increasing need for real-time data analytics, which requires large-scale computations to be performed closer to the data and data infrastructures, to adapt to HPC-like modes of operation. These new use cases create a vital need for HPC and BD systems to deal with simulations and data analytics in a more unified fashion. To explore this need, the NITRD Big Data and High-End Computing R&D Interagency Working Groups held a workshop, The Convergence of High-Performance Computing, Big Data, and Machine Learning, on October 29-30, 2018, in Bethesda, Maryland. The purposes of the workshop were to bring together representatives from the public, private, and academic sectors to share their knowledge and insights on integrating HPC, BD, and ML systems and approaches and to identify key research challenges and opportunities. The 58 workshop participants represented a balanced cross-section of stakeholders involved in or impacted by this area of research. Additional workshop information, including a webcast, is available at https://www.nitrd.gov/the-convergence-of-high-performance-computing-big-data-and-machine-learning/ .", "MetadataCreatedDate": "6/14/2023", "MetadataUpdatedDate": "6/14/2023" } ] }