Project Grant 2503640
Award Date 10/1/25
Completion Date 9/30/28
Dollars Obligated $160K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Ames, IA 50011, USA
Similar Awards
- This federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $128,479.00 to The University of Akron for collaborative research on techniques to mitigate the effect of stragglers (slow or failed workers) in distributed matrix computations. The research aims to develop coded computation approaches that are better suited for sparse input matrices, and leverage partial computations from slow workers. This work will provide training for students...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program has awarded a $582,000 Project Grant to Iowa State University of Science and Technology. The grant, with an award date of July 1, 2025 and an ultimate completion date of June 30, 2028, will support research into resource-efficient and fault-tolerant schemes for distributed model training within machine learning systems. Specifically, the project aims to investigate techniques for...
- This $139,408 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research on the communication cost of distributed algorithms. The University of Iowa, the grant recipient, will focus on developing efficient distributed algorithms, with the aim of improving the performance of distributed computing applications like peer-to-peer networks and wireless sensor networks. Key efforts include designing...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program, with the CFDA Number 47.070, aims to develop a comprehensive framework for improving program performance and reliability through advanced methods in program analysis, parallelization, and validation. The $420,000 award to Iowa State University of Science and Technology, to be executed over 3 years from May 1, 2025 to April 30, 2028, focuses on...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $122,648 in funding to Iowa State University over a 3-year period from May 1, 2024 to April 30, 2027. The project aims to deliver mathematical innovations that will improve the reliability and time resolution of machine learning algorithms for national security applications, such as rapid detection and classification of potential threats. Key objectives...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $286,991 to Georgia Tech Research Corporation to develop new theoretical frameworks, analyses, and techniques for distributed computing and machine learning. The key goals are to: (i) accelerate computation time by overcoming system bottlenecks, (ii) ensure accurate computation in the presence of hardware errors and faults, and (iii) enable data-processing...
- This $390,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, supports research at Iowa State University of Science and Technology to develop secure and efficient distributed algorithms for solving optimization problems in areas like medical imaging, machine learning, and bioinformatics. The project introduces a novel "Alternating Gradient Descent and Minimization" (AltGDMin) framework that...
- The National Science Foundation (NSF) awarded a $313,839 Project Grant to Iowa State University (ISU) on August 1, 2025 under the Engineering program (CFDA 47.041). The grant supports collaborative research to advance the theory and algorithms for distribution control, addressing challenges related to nonlinearity in dynamics, interactions among agents, and robustness of control policies. The research aims to enable precision manufacturing of materials with desired properties and coordination of...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant titled "TOWARD HIGH-PERFORMANCE BLOCK KRYLOV SUBSPACE ALGORITHMS FOR SOLVING LARGE-SCALE LINEAR SYSTEMS" under its Computer and Information Science and Engineering program (CFDA 47.070). The grant recipient, CAL Poly Pomona Foundation Inc., a non-profit organization, will develop new numerical algorithms to rapidly solve large-scale linear systems that are crucial for data analysis and scientific computing...
- This National Science Foundation (NSF) Division of Computing and Communication Foundations Project Grant award, under CFDA Program 47.070 "Computer and Information Science and Engineering", provides $225,000 in funding to the Texas A&M Engineering Experiment Station (Tees) from October 1, 2023 to September 30, 2026. The grant supports research to maximize the benefits of computing redundancy, such as task replication, in distributed computing systems used for artificial...