Project Grant DESC0020455

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $250,000 to the College of William and Mary to support research and education activities under the EASER framework from June 2022 through May 2025. The award will fund the development of an integrated paradigm for application execution on heterogeneous high-performance computing clusters. Key products and services include compiler-driven performance prediction models, an...

This $255,837 National Science Foundation project grant funds the development of a blockchain-driven, distributed memory computational platform for industrial analytics by Blockalytics LLC. The platform will enable predictive analytics on geographically distributed industrial data without data movement or reliance on cloud-based solutions. Blockalytics will integrate blockchain smart contracts with distributed memory frameworks to design primitives similar to MapReduce for blockchain and develop...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with Federal Grant Program ID 47.070, will support the University of California, Merced in pioneering innovative heterogeneous-enriched communication designs for modern and next-generation high-performance computing (HPC) systems and applications. The $500,177 award, effective January 1, 2024 through December 31, 2028, aims to enhance the usability, efficiency,...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant, awarded to Iowa State University of Science and Technology, aims to advance the fault tolerance of decentralized blockchain transactions. The $290,772 award, effective May 15, 2024 through April 30, 2028, will fund research to: Capture the inherent dependencies across the blockchain ecosystem, Identify critical transaction states, and Ensure the effectiveness and efficiency of blockchain...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $150,000 to The Trustees of the University of Pennsylvania to study the design and implementation of a new class of smart contracts for blockchain-based financial transactions and supply chain applications. The project, titled "EAGER: SYNTHESIZING AND OPTIMIZING DECLARATIVE SMART CONTRACTS," aims to develop "DESCO," a declarative smart...

This SBIR Phase I Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $275,000 in funding to Radius Technology Systems, Inc. to develop a high-throughput smart contract platform capable of processing over 1 million transactions per second. The key innovation is the ability to execute smart contract transactions in parallel without needing to serialize a global order, enabling horizontal scalability. The platform...

This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop strategies for efficiently leveraging idle resources in high-performance computing (HPC) systems to accelerate large-scale artificial intelligence (AI) workloads. The key objectives are to: 1) analyze patterns of idle resources in HPC environments, 2) develop methods to safely and rapidly harvest these idle resources, and...

This $154,068 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of auction mechanism models to reduce energy costs and contribute to power grid stability in high-performance computing systems. Specifically, the University of Toledo will use the award to create machine learning models for predicting power usage and performance of parallel applications, develop an auction mechanism model incorporating renewable...

Carbon Solutions LLC received a $199,906.04 project grant award from the Department of Energy Office of Science on February 22, 2021 to develop pumped-storage hydropower using abandoned underground mines as an innovative energy storage technology for fossil-integrated systems. The project aims to demonstrate the technical and economic feasibility of utilizing abandoned underground mines to store and generate electricity through pumped-storage hydropower. By leveraging existing underground...

The National Science Foundation awarded Syracuse University a $498,624 project grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to develop cost optimization techniques for decentralized applications on blockchains. The university will design and evaluate approaches to reduce the monetary costs incurred by end-users of decentralized finance and other applications, such as bundling transaction requests and dynamically reorganizing data storage. A...