Project Grant 2350323

Award Date 6/15/24
Completion Date 5/31/27
Dollars Obligated $155K
Funding Federal Agency
Office of Integrative Activities
Federal Grant Program
47.083
Assistance Type
Project Grant
Place of Performance
Clemson, SC 29634, USA
Similar Awards
This $274,765 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) establishes a foundation for efficient and intelligent unified memory design to harness the power of advanced GPU accelerators. The key products and services to be delivered include: Developing an abstraction framework called ACCORD to capture the spatial and temporal patterns of massively parallel memory accesses, enabling quantitative...
This $182,564 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop scalable and reliable composable computer architectures in the post-Moore's Law era. The project aims to address challenges in managing integrated computing and memory components for efficient communication, and achieving sustainable performance on multi-GPU systems with disaggregated memories. The research will...
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 $1.2 million Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of Pittsburgh to expedite machine learning applications on multi-GPU infrastructure. Specifically, the university will uncover and address architectural bottlenecks in deep neural network executions on multi-GPU systems. Researchers will redesign translation lookaside buffer hierarchies and page table walks to reduce address...
The National Science Foundation (NSF) awarded a Project Grant of $299,998 on March 1, 2024 to the University of Louisiana at Lafayette, operating as the Office of Research, under the Integrative Activities (IA) program (CFDA 47.083). This 5-year project aims to develop a high-performance, reliable, and energy-efficient data processing platform by combining in-memory computing and unary computing techniques. The platform will address key technical challenges of existing in-memory computing...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $1,056,062 to Duke University to establish the NCSHARE AI-GAAS platform. The goal is to create a powerful, scalable GPU cluster that can be virtualized and dynamically allocated to provide secure, authorized GPU access for a wide range of research and educational needs across colleges and universities in North Carolina. By moving...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,638,449 to develop the MemSysExplorer framework. This framework will provide the research community with tools to explore and evaluate next-generation memory systems across the application, system, and technology design spaces. The project, led by Tufts University with sub-awards to Harvard University and Amherst College, will create a...
The National Science Foundation (NSF) awarded a $221,138 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Merced. The grant, titled "REFORMING PROFILING TECHNIQUES TO GUIDE SYSTEMIC PERFORMANCE TUNING FOR GPU-ACCELERATED DEEP LEARNING WORKLOADS," aims to develop advanced profiling techniques to enable cross-layer performance optimization of deep learning models running on graphics processing units (GPUs)....
The National Science Foundation (NSF) awarded a five-year, $209,022 Project Grant titled "CAREER: RETHINKING PIM-ASSISTED GPU COMPUTING FOR MULTI-TENANT ARTIFICIAL INTELLIGENCE" to the University of Maryland, Baltimore County (UMBC). This grant is funded under NSF's Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project aims to address key challenges in the "multi-tenant" era of artificial intelligence (AI) systems, where multiple deep...
The National Science Foundation (NSF) awarded a $592,937 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Utah. The grant supports the development of cache-coherent accelerators to efficiently support persistent memory programming. The proposed approach aims to enable existing software to benefit from faster persistent memory storage without requiring changes to the code, while also providing safety during system crashes and...

This $154,959 Project Grant awarded by the National Science Foundation (NSF) Integrative Activities (IA) program will fund research to develop efficient and intelligent Unified Memory (UM) design techniques for GPU-accelerated systems. The project, titled "COLLABORATIVE RESEARCH: SHF: SMALL: ACCESS PATTERNS IN MASSIVE PARALLELISM: ABSTRACTIONS AND ORIENTED UNIFIED MEMORY MANAGEMENT FOR GPU ACCELERATED SYSTEMS", aims to address the challenges of managing data migration between host and GPU memories, which is critical for advancing large-scale scientific and deep learning workloads. The key innovation is the "Access Pattern Oriented" (ACCORD) framework, which will enable quantitative assessment of access patterns and their interaction with UM techniques to optimize data movement. The research objectives include devising access pattern abstractions, developing cost analysis methods, designing access pattern-oriented UM techniques, and integrating the ACCORD framework into real-world UM systems. This 3-year project, awarded on June 15, 2024, will be conducted by Clemson University's Division of Research.

Generated 3/18/25, 4:18 AM