This National Science Foundation (NSF) Integrative Activities (CFDA 47.083) project grant award of $169,200 to the University of Kansas Center for Research Inc. aims to develop a novel class of architectural data transformation units (DTUs) to improve the efficiency and performance of data processing in computing systems. The project will focus on three key research thrusts: 1) developing the foundational science of on-the-fly data transformation, 2) exploring alternative architectural paradigms...
This $600,000 federal Project Grant award was issued by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The purpose of the grant is to lay the foundations for building tools that will enable data scientists to more effectively manage and process large datasets for machine learning applications. The key focus is extending relational database technology with the ability to...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of scalable software to realize "data polymorphism" - a novel paradigm that enables fast and adaptable scientific data retrieval with tailored error control. The key products and services to be delivered include: A generic framework to abstract the generation of progressive data representations, allowing for...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, with a total funding of $299,996, supports a collaborative research project titled "CIF: SMALL: New Frontiers of Approximate Message Passing: Distributed Processing, Stochastic Updates, and Non-Asymptotic Bounds." The project, awarded to Trustees of Boston University, aims to develop novel iterative algorithms and a theoretical framework for efficiently processing massive...
This Project Grant award for $127,658, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports research to enable efficient navigation of the large, diverse design space for accelerators used in autonomous systems. The key objectives are: (1) developing a library of hardware design flows for commonly-used motion-related computations; (2) establishing intermediate representations, interfaces, and...
This Project Grant award of $271,041.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will fund research to develop improved approximation algorithms for solving computationally complex graph problems. The research aims to find fast algorithms that can generate high-quality approximate solutions to challenging problems like the Traveling Salesperson Problem, with guaranteed bounds on the approximation...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $549,999 to the University of North Texas to develop a "Time-Sensitive Large Model Training Platform for Dynamic Data Analytics". The key goals are to create methods for dynamically refining and adapting large-scale deep learning models to changing conditions in real-time, reducing the need for time-consuming retraining. This will...
This $376,103 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research at Northeastern University to develop high-performance, space-efficient, and practical adaptive data filtering algorithms. The research aims to create filters that can adaptively change their representation to improve performance for streams of queries, especially for skewed or adversarial data workloads. The project will...
The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Georgia Research Foundation, Inc. The grant aims to improve the reliability, usability, and efficiency of Dynamic Binary Translation (DBT) systems, which are crucial for applications like hardware emulators and software testing tools. The key objectives are to develop methods to detect and fix hidden bugs and...
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...