Project Grant 2451267
- This $275,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop and test new scheduling algorithms for improving the performance of modern database systems. The goal is to create models and policies that can efficiently allocate limited hardware resources, such as compute and memory, to handle a stream of parallelizable database queries with varying levels of parallelizability and service...
- This $190,473 federal Project Grant was awarded on July 1, 2025 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of California, Santa Cruz (UCSC). The grant aims to develop new algorithmic methods for online scheduling to efficiently allocate massive computing resources, which is crucial for modern science and engineering. The research objectives include: 1) Developing new gradient-descent techniques for...
- The National Science Foundation (NSF) awarded a $295,548 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois. The award will support the development of an "Intelligent Management of Hybrid Workloads for Extreme Scale Computing" framework. Key research activities include modeling the performance implications of diverse workloads on supercomputers, creating new intelligent multi-resource scheduling methods, and...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program award provides $599,386 to Northeastern University to conduct research on communication-aware algorithms for dynamic allocation of heterogeneous computing resources in distributed infrastructure systems. The key products delivered under this 3-year project grant include: Innovative solutions for scheduling large-scale, precedence-constrained computations such as Artificial Intelligence tasks...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award in the amount of $325,000.00 was provided to Carnegie Mellon University to develop and test algorithms for scheduling a stream of parallelizable database queries. The goal is to create new scheduling policies that maximize the utilization of system resources such as compute and memory in order to reduce query latencies. The project targets...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $564,958 to Carnegie Mellon University from December 1, 2024 to November 30, 2027. The project aims to advance fundamental knowledge and innovate resource allocation algorithms to address the challenges posed by high variability and uncertainty in both demand and service in modern computing systems, especially those supporting machine learning...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to advance research and development in edge-to-cloud computing workflows. The $600,000 award to the University of Southern California (USC) will fund: (1) the creation of real-world and synthetic scientific workflow benchmarks for evaluating edge-to-cloud algorithms and systems; (2) the development and assessment of novel task scheduling...
- 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 Central Florida to develop software-hardware solutions that enable efficient execution of large AI foundation models, like those powering advanced AI applications, on smaller, resource-limited computer systems. The project aims to improve the efficiency, scalability, and resource utilization of...
- The National Science Foundation awarded a $499,752 Project Grant to The Washington University under the Computer and Information Science and Engineering program. The grant will support research into developing more efficient schedulability analysis algorithms for safety-critical real-time systems. The Principal Investigator will investigate using integer linear program solvers to represent common schedulability analysis problems in a manner that can be solved efficiently. A methodology will be...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop algorithms and theoretical analysis for large-scale resource allocation challenges. The $261,620 award to the University of Massachusetts will fund research across three core areas: (1) effective preference elicitation to gather user preferences while minimizing cognitive burden, (2) accounting for preference uncertainty in allocation mechanisms,...
This federal Project Grant award for $150,000 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Loyola Marymount University (LMU). The grant supports research to design, evaluate, and compare novel task scheduling algorithms for distributed computing systems that underpin a wide range of important applications, from scientific workflows to IoT. The project aims to better understand the capabilities and limitations of existing scheduling approaches and develop new machine learning-based techniques to enable more intelligent and efficient task scheduling. The research will integrate with popular distributed computing platforms like Pegasus, Parsl, and Docker, and provide hands-on undergraduate research opportunities at LMU to strengthen the pipeline of future computing researchers. This work is expected to advance national research infrastructure, scientific progress, and the development of robust and scalable computing systems.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 7/18/25 |