Category Archives: Computing & Networking


Overview Scientific progress today requires multi-institutional and cross-disciplinary sharing and analysis of data. Many disciplines, such as social and health-related sciences, face a web of policies and technological constraints on data due to privacy concern over, for example, Personal Health Information (PHI) or Personally Identifiable Information (PII). Issues of privacy, safety, competition, and ownership have […]

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Scientific Data Analysis at Scale (SciDAS)

Overview Many tools and resources exist to help scientists conduct research efficiently, including high performance computing in the cloud, data management and scientific workflow systems, and tools that enable collaboration and data sharing. However, scientists need to seek out these different tools and platforms, and national cyberinfrastructure does not currently operate as a seamless, integrated […]

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Cyber-Physical Systems for Smart Grids

Overview Smart grids – power grids that adapt to changes in demand and reconfigure as needed to avoid overloads and other problems – can reduce energy costs, help avoid blackouts, and deter cyber attacks. They also pose new challenges. As power generation shifts from centralized power stations to distributed, heterogeneous systems, massive amounts of sensor […]

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Overview In the near future, large-scale computing systems are likely to vary greatly in their execution behavior due to massive component counts, relatively high fault rates, and potential performance fluctuations due to power and energy constraints. Electrical costs will be an important factor in determining the total cost of ownership, which means that applications and […]

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Overview Current efforts to enable data-driven science either look at data management issues, such as data curation and data preservation, or resource management issues, such as developing network mechanisms to speed up data transfers. RADII (for Resource Aware Data-centric collaborative Infrastructure) builds on the principle that a comprehensive approach which integrates data and resource management […]

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Overview Scientific workflows are now being used in a number of scientific domains, including astronomy, bioinformatics, climate modeling, earth science, civil engineering, physics, and many others. Unlike monolithic applications, workflows often run across heterogeneous resources distributed across wide area networks. Some workflow tasks may require high performance computing resources, while others can run efficiently on […]

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The GENI Instrumentation and Measurement Infrastructure (GIMI) project develops and deploys a framework capable of supporting the needs of GENI experimenters and infrastructure operators in order to build large-scale infrastructure for the Global Environments for Network Innovation (GENI) initiative. It uses the ORBIT Measurement Library (OML) as a base to provide libraries with instrument resources […]

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Project ADAMANT (Adaptive Data-Aware Multi-domain Application Network Topologies) brings together a multi-campus research team and two successful software tools to address the challenges of integrating workflow-driven science applications and dynamic networking infrastructures that link campus, institutional and national resources to solve scientific problems. The software tools employed are Pegasus workflow management system and ORCA resource […]

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Overview The eXascale Programming Environment and System Software (XPRESS) project is part of the DOE Office of Science Advanced Scientific Computing Research X-stack Program initiated in September 2012. The purpose of XPRESS is to devise software that will enable practical extreme-scale computing for DOE missions requiring large-scale computing efforts. Researchers hope to achieve the goal and to have working […]

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Overview The Institute for Sustained Performance, Energy, and Resilience (SUPER) is a collaborative effort among researchers at several institutions with expertise in high performance compilers and other system tools, performance engineering, energy management, and resilience. It was developed under the Department of Energy’s (DOE) Scientific Discovery through Advanced Computing (SciDAC) program to ensure that DOE scientists and laboratories can successfully take advantage of the […]

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