Project Grant 2135309
- The University of Alabama in Huntsville will receive $199,647 from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct research titled "COLLABORATIVE RESEARCH: SHF: SMALL: LEARNING FAULT TOLERANCE AT SCALE" from January 1, 2022 to December 31, 2024. The funding will support investigator-initiated research to advance the development and use of cyberinfrastructure to enable and accelerate discovery...
- The National Science Foundation (NSF) awarded a Project Grant of $198,596.00 to Bucknell University under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project, titled "TOWARDS ASYNCHRONOUS, CRASH-TOLERANT SHARED DATA", seeks to develop techniques to speed up data access in distributed computing systems by allowing for slightly out-of-order data access. This would provide resilience to errors and crashes in these systems. The...
- This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to enable developers to perform fine-grained software testing, thereby increasing software quality. The key objectives are to: (1) develop a language and framework for expressing and using fine-grained tests; (2) automatically generate fine-grained tests from code or existing tests; (3) adapt fine-grained tests to software evolution and...
- This $212,345 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to mitigate the risks of metastable failures in large, distributed software systems. The project, titled "CAREER: MITIGATING THE RISKS OF METASTABLE FAILURES IN DISTRIBUTED SYSTEMS," aims to study patterns of metastable failures, design more failure-resistant systems, and eliminate feedback loops to help engineers...
- This $274,942 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports Arizona State University's research towards mitigating the risks and impacts of metastable failures in large software systems like cloud computing infrastructure. The project will investigate patterns of metastable failures, design more resilient systems, and develop methods to eliminate or reduce the amplification of feedback loops...
- This $300,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the "Versioned Lineage-Driven Checkpointing of Composable States (VLCC-States)" research project. The project aims to streamline the development and use of checkpointing patterns for scientific applications, which simplify and improve reusability of integration efforts across different communities, reduce development...
- This $256,710 National Science Foundation award under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research project led by the University of Texas at Austin. The project investigates full-stack implementation methodologies for developing expressive programming systems that bridge the gap between high-level specifications and high-performance implementations of complex reasoning tasks at scale. Key focus areas include extending declarative...
- This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to enable developers to perform fine-grained software testing, thereby increasing software quality. The research project will: (1) develop a language and framework for expressing and using fine-grained tests; (2) automatically generate fine-grained tests from code or existing tests; (3) adapt fine-grained tests to software evolution and...
- The University of Massachusetts Lowell's Office of Research Administration received a $600,000 three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop mechanisms for detecting soft errors and silent data corruption in high-performance computing systems. The university will apply compressive sensing and machine learning techniques, including unsupervised anomaly detection, to...
- The University of Utah received a $220,500 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This 5-year award, beginning March 1, 2024, supports research to develop scalable security testing techniques for large software systems. The project focuses on advancing "fuzzing" - a predominant software vulnerability detection method - to address the unique challenges posed by software...
This Project Grant from the National Science Foundation's $300,000 Computer and Information Science and Engineering program (CFDA 47.070) supports collaborative research on learning fault tolerance at scale from January 1, 2022 to December 31, 2024. Vanderbilt University is the primary awardee and will receive $300,000 to advance the development of state-of-the-art fault tolerance algorithms and deepen theoretical understanding of the problem. The University of Kansas Center for Research Inc. serves as a sub-awardee to contribute their co-principal investigator's advanced knowledge and expertise in related fault tolerance methodologies. The funding enables investigator-initiated research and partnerships to accelerate discovery and innovation in computing and information sciences critical to developing robust, resilient systems.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/31/21 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
OSA00000080S | University Of Kansas Center For Research Inc. | Project Grant 2135309 | $125.0k | 3/2/22 |