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Large- Scale Systems


Research in Large-scale Systems and Software: SCI research in Large-scale Systems and Software focuses on the conceptualization, design, and engineering of software systems to enable important and challenging computational and data-enabled applications in science, engineering, medicine, and humanities. This research targets modern multi/many-core extreme scale parallel, and distributed systems, and uses translational, transdisciplinary and co-design approaches to maximize performance and scalability, reduce energy consumption, and/or optimize usability. Example research focus areas include scalable methods and algorithms, programming system integrating abstractions and runtime mechanisms, large-scale data management and processing, and federated computational cyberinfrastructure. As with all research at SCI, translation through the development and deployment of innovative and robust software packages is integral to this research.

Manish Parashar
Manish Parashar
– Computational and Data-Enabled Science and Engineering
– Parallel & Distributed Computing
– Extreme-scale Computing and Data Management
– Autonomic Computing
Profile
Martin Berzins
Martin Berzins
– Parallel Computing
– GPUs
Profile
Valerio Pascucci
Valerio Pascucci
– Scientific Data Management
Profile
Rohan Basu Roy
Rohan Basu Roy
– High Performance Computing
– Cloud Computing
– Sustainable Computing
– Computer Systems and Architecture
Profile

Research


Center for Extreme Data Management Analysis and Visualization (CEDMAV)
The Center for Extreme Data Management Analysis and Visualization (CEDMAV) focuses on theoretical and algorithmic research, systems development, and tool deployment for dealing with extreme data.
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Intel oneAPI Center of Excellence
The SCI Institute oneAPI Center of Excellence team is extending its Intel GVI work to pursue new high-performance visual computing methods that utilize oneAPI cross-architecture programming, which delivers performance and productivity, along withprovides the ability to create single source code that takes advantage of CPUs, GPUs and other accelerator technologiescan be deployed across a variety of architectures.
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CI Compass
U.S. National Science Foundation Cyberinfrastructure Center of Excellence (CI CoE). NSF CI Compass provides expertise and active support to cyberinfrastructure practitioners at U.S. National Science Foundation (NSF) Major Facilities in order to accelerate the data lifecycle and ensure the integrity and effectiveness of the cyberinfrastructure upon which research and discovery depend.
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National Science Data Fabric
The National Science Data Fabric (NSDF) pilot builds a testbed experimenting with critical technology needed to democratize data-driven sciences by constructing a CI platform designed for equitable access. In particular, NSDF experiments with key technologies that empower user communities to develop their solutions and support domain-specific requirements while avoiding duplication of technology.
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National Data Platform
The National Data Platform, or NDP, is a federated and extensible data ecosystem to promote collaboration and innovation on top of existing data and cyberinfrastructure capabilities.
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Science Data Exchange
Science Data Exchange (SciDx) is a comprehensive software stack built on NDP-POP (Point of Presence), empowering users to transform and utilize data in real time. SciDx aims to bridge gaps in data sharing and collaboration by offering a robust platform for managing and accessing data easily.
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