Project Grant 2312741
- The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Virginia. The award supports collaborative research to develop a hardware-software co-design approach for high-performance in-memory analytic data processing, addressing challenges in analyzing large volumes of data. The research focuses on designing...
- This $400,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) program supports a collaborative research effort led by Carnegie Mellon University (CMU). The project aims to develop a hardware-software co-design approach for high-performance in-memory analytic data processing. Key technical thrusts include mechanisms for in-place data analytics on dynamic random-access memory (DRAM), processing-in-memory (PIM)...
- The National Science Foundation (NSF) awarded a $229,578 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Rensselaer Polytechnic Institute (RPI) to develop hardware and software solutions that address key challenges in enabling a new paradigm of in-memory computing. The research project aims to tackle issues related to fragmented memory resources, insufficient architectural support for memory sharing, and the inefficient separation between...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $172,156 to support collaborative research at Indiana University on hardware and software for memory-centric computing systems. The funding will be used to address key technical challenges in enabling an "in-memory computing" paradigm that can overcome limitations of traditional computer architectures for data-intensive applications. The...
- The National Science Foundation (NSF) awarded a $582,269 project grant to Syracuse University, a private university in Syracuse, New York, under the Computer and Information Science and Engineering (CFDA 47.070) program. The 5-year grant, awarded on August 1, 2023, supports the development of a "full-stack approach to declarative analytics at scale." The research investigates methodologies for implementing expressive programming systems that can effectively bridge the gap between...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The University of Central Florida Board of Trustees Office of Research Division (UCF) to conduct research on taming large memory page challenges for memory bulk operations using a hardware/software co-design approach. The goal is to significantly improve the speed and bandwidth of single-level DRAM combined with ultra-low latency, non-volatile...
- This $450,000 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) aims to transform the process of designing computer hardware through a novel approach to electronic design automation (EDA). The research project at Cornell University will develop differentiable hardware synthesis techniques that combine formal methods, machine learning, and parallel computing to optimize circuit design in a faster, less...
- This $250,773 federal Project Grant award from the National Science Foundation's (NSF) STEM Education (CFDA 47.076) program will support Cornell University's research and development of techniques for efficient debugging and profiling of hardware accelerator designs. The key objectives are to: Develop methods for collecting data on accelerator efficiency metrics, including resource consumption, critical timing paths, and cycle-level timing, which will be embodied in a tool generating flame graph...
- This $228,579 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research by The Ohio State University to develop hardware and software solutions to address fundamental challenges in enabling in-memory computing for memory-intensive applications. The project takes a holistic approach, spanning multiple system layers, to tackle issues around fragmented memory resources, architectural support for memory sharing,...
- Cornell University received a three-year Project Grant award of $598,449 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 award will support research and development of specialized computer chips and software programs to accelerate artificial intelligence workloads using fine-grained unstructured sparsity and mixed precision techniques. Cornell University...
The National Science Foundation (NSF) awarded a $399,998 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Cornell University for a collaborative research project titled "A Hardware-Software Co-Design Approach for High-Performance In-Memory Analytic Data Processing". The project aims to redesign both hardware and software components of an analytics pipeline to enable high-performance in-memory data processing and faster data-driven decision-making. The research involves four key thrusts: 1) developing mechanisms for in-place data analytics query processing on dynamic random-access memory (DRAM), 2) exploring processing-in-memory (PIM) designs for static random-access memory (SRAM)-based caches, 3) proposing a domain-specific language-based approach to accelerate analytics queries across SRAM and DRAM-based PIM, and 4) creating simulation infrastructure and benchmarks for the database-hardware co-design approach. The project is a collaboration between researchers at the University of Wisconsin-Madison, Cornell University, and the University of Virginia.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 7/26/23 |