Project Grant DESC0011381

This Project Grant award for $269,920 from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) will support the development of community-based tools to enhance students' self-regulated learning of parallel programming. The project will focus on engaging students in metacognitive processes to improve their learning of parallel programming concepts. Key activities include developing a...

This three-year, $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop scalable concolic testing techniques for parallel applications with shared dynamic data structures. Specifically, the awardee, the Regents of the University of California at Riverside, will pursue two key objectives. First, the researchers will generalize concolic testing to automatically test parallel programs running on heterogeneous, massively...

This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $300,000.00 to The Trustees of Princeton University to extend the source transformation Automatic Differentiation (AD) tool "CLAD" to enhance support for C++ programming language constructs and improve interoperability with large-scale scientific computing codes. The project aims to enable researchers to leverage differentiable programming techniques,...

This Project Grant award of $289,136.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a scalable and extensible I/O runtime and tools for next-generation adaptive data layouts. The research aims to create a comprehensive data management solution that can address the data movement challenges posed by exascale computing. Key deliverables include: A scalable and tunable parallel I/O runtime that enables...

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 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $420,000 to Iowa State University to develop a framework for automatically rewriting programs to run more efficiently on modern high-performance computing (HPC) systems. The key objectives are to leverage advanced machine learning techniques to gain a deeper understanding of complex programs, identify opportunities for parallelization, and...

This $499,587 National Science Foundation project grant supports research at Northeastern University aimed at improving the predictability of performance for just-in-time compilation in the Julia programming language. The Julia language strives for high-level abstractions that compile down to efficient code comparable to languages like C. However, achieving predictable performance is challenging due to the non-local information compilers require. This project will formalize existing concepts...

The National Science Foundation (NSF) awarded a $599,578 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, San Diego (UCSD) to develop a direct manipulation programming system that integrates visual and textual representations of computer code. The 3-year project seeks to transform the nature of programming by making it more intuitive and accessible, especially for beginners, by allowing programmers to directly...

The National Science Foundation awarded the University of New Mexico (UNM) a 5-year, $278,918 Project Grant under the Integrative Activities (CFDA 47.083) program. This grant supports UNM's research to minimize communication costs and enhance the performance and scalability of existing parallel applications used in high-performance computing. The project will develop accurate performance models for emerging heterogeneous architectures to optimize communication within non-linear solvers,...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $600,000 in funding to the University of Hawaii to conduct research on developing parallel, cache-efficient data structures. The key objectives are to: Incorporate fractional cascading techniques into multi-way distribution frameworks to combine parallelism and I/O efficiency. Develop parallel construction of (partially) persistent B-trees...