Project Grant 2330048
- This three-year Project Grant from the National Science Foundation's $450,000 Computer and Information Science and Engineering program will support research at Texas A&M University to advance the theoretical foundations of matrix multiplication. The researchers will investigate both improving the known algorithms for matrix multiplication and proving tighter theoretical lower bounds on computational complexity. To address algorithmic efficiency, they will apply representation theory and...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded $324,998 to Massachusetts Institute of Technology (MIT) for a three-year project (July 1, 2025–June 30, 2028) under the Mathematical and Physical Sciences program (CFDA 47.049). This research project advances understanding of Krylov subspace methods—fundamental algorithms widely used in computational mathematics for solving high-dimensional problems across engineering, science, and...
- The Massachusetts Institute of Technology (MIT) received a $499,999 Project Grant award from the National Science Foundation (NSF) to conduct research titled "AF: SMALL: LOWER BOUNDS IN COMPLEXITY THEORY VIA ALGORITHMS" under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). The three-year award beginning October 1, 2021 provides $499,999 in funding for MIT researchers to develop new algorithms aimed at establishing theoretical lower bounds in...
- The Massachusetts Institute of Technology (MIT) received a $531,494 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations on May 1, 2023 to complete work by April 30, 2026. Under this award, MIT will conduct research investigating low-degree methods for optimization in random structures and their potential and limitations. Specifically, MIT aims to verify if low-degree method-based algorithms can achieve state-of-the-art performance across a...
- This $299,999 National Science Foundation (NSF) grant under the Computer and Information Science and Engineering (CFDA 47.070) program supports research at the University of Massachusetts (UMass) on the query complexity of linear algebra algorithms. The project aims to develop new, query-efficient algorithms for solving key matrix problems and prove unconditional lower bounds on the number of queries required. The research will focus on two query models: entrywise matrix queries and...
- The Massachusetts Institute of Technology (MIT) received a $448,421 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant funds MIT's research project to develop an "excompiler" - a new type of programming language and compiler that decouples algorithms from their organization and execution. This will allow algorithms and their...
- The Massachusetts Institute of Technology (MIT) received a three-year, $175,000 Project Grant award from the National Science Foundation (NSF) to support research titled "COLLABORATIVE RESEARCH: CIF: SMALL: LOW-COMPLEXITY ALGORITHMS FOR UNSOURCED MULTIPLE ACCESS AND COMPRESSED SENSING IN LARGE DIMENSIONS" under the NSF's Computer and Information Science and Engineering program (CFDA #47.070). The grant will fund MIT investigator-initiated research from October 1, 2021 to September...
- Federal Grant Award Summary Massachusetts Institute of Technology received a $267,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded September 1, 2025, with completion targeted for August 31, 2027. The award supports fundamental research investigating tensor categories, quantized algebras, and the analytic Langlands correspondence—advanced mathematical structures used to...
- This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research at the Massachusetts Institute of Technology (MIT) to develop a mathematical foundation for leveraging graph data in machine learning systems. The project aims to characterize how the geometry of latent feature spaces affects graph structure, recover latent feature vectors from observed graphs, and devise efficient algorithms...
- Federal Project Grant Award Summary Massachusetts Institute of Technology (MIT) received a $300,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) effective July 1, 2025, through June 30, 2028. The award funds fundamental mathematical research on periodic dimer models, which are probabilistic systems used to understand phase transitions and crystal roughening phenomena observed in nature. The research...
This $600,000 Project Grant award from the National Science Foundation (NSF) Division of Computing and Communication Foundations supports research on algorithms and limitations for matrix multiplication. The goal is to develop the fastest methods for computers to multiply large matrices, which is a fundamental mathematical operation with wide-ranging applications in science, technology, and beyond. The grant will fund research to pinpoint the theoretical limits of matrix multiplication algorithms, with a focus on mentoring undergraduate and graduate students. The work will also involve developing new course materials on matrix algorithms and their applications, which will be made publicly available. The project will be conducted by the Massachusetts Institute of Technology (MIT) over a three-year period from August 1, 2023 to July 31, 2026.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 7/19/23 |