Project Grant 2450448
- This $839,990 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will enhance the capabilities of the widely used Accel-Sim simulation infrastructure to enable detailed, validated modeling of modern and future accelerator architectures. The project will modernize and expand Accel-Sim's performance and energy models to support the latest GPU architectures, broaden the diversity of accelerators and workloads...
- This $270,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support the development of scalable simulation techniques and advanced memory management strategies for large-scale machine learning workloads on graphics processing units (GPUs). The research aims to address challenges presented by the rapid growth in size and complexity of modern machine learning models, such as prolonged simulation times and...
- This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to enhance the GEM5 simulation infrastructure to advance computer hardware and systems research. Key objectives include: Expanding the GEM5 simulator's capabilities to model future devices, improve accuracy of current models, add support for emerging hardware, and scale simulation performance. These improvements will enable researchers to better...
- This $379,800 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of innovative lightweight simulation techniques to enable faster performance modeling and optimization for next-generation, large-scale computing systems. The awardee, the University of Virginia (UVA), is designing a suite of simulation tools under the "Akita" framework that encompass three complementary...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $600,000 to New Mexico State University (NMSU) will develop a scalable and accurate simulation framework for multi-GPU (graphics processing unit) systems as part of the Structural Simulation Toolkit (SST). The project aims to enable computational scientists and system designers to estimate performance gains and overheads of accelerating applications on GPU...
- This $377,694 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of innovative lightweight simulation techniques to enable faster design and optimization of next-generation, large-scale computing systems. The University of Rochester is leading this collaborative research project, which introduces behavior modeling, sampled simulations, and data-driven simulation approaches to...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal Project Grant award, with the CFDA number 47.070, provides $376,249 in funding to the College of William & Mary in Williamsburg, VA to develop innovative lightweight simulation techniques that enable faster computer architecture design and evaluation. The project, titled "COLLABORATIVE RESEARCH: SHF: MEDIUM: ENABLING GRAPHICS PROCESSING UNIT PERFORMANCE SIMULATION FOR LARGE-SCALE...
- This $150,000 project grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development of GPU-accelerated first-principles simulation techniques to model exciton dynamics in complex materials systems over three years. Led by the University of Illinois at Urbana-Champaign, the collaborative research effort will implement novel methods for describing quantum-mechanical...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program aims to expand and improve the GEM5 simulation infrastructure, a popular tool used in computer systems research. With $199,653 in funding over 4 years, the project will: Enable researchers to design and understand the next generation of supercomputers, laptops, and mobile devices by scaling the GEM5 simulator to model emerging technologies, improve accuracy, and enhance...
- This $3.75 million project grant from the National Science Foundation's Computer and Information Science and Engineering program will support the augmentation of the Chrono computer simulation platform at the University of Wisconsin-Madison from July 2022 through June 2025. Chrono is an open-source simulation engine used across multiple fields to model interactions between mechanical systems, environments, and humans in applications like lunar rover engineering, vehicle design, wind turbines,...
This $360,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will enable the University of Wisconsin-Madison to enhance the widely used Accel-Sim simulation infrastructure. The project will modernize and expand Accel-Sim's performance and energy models to support the latest GPU architectures, including features like transformer engines and sparse tensor cores. It will also broaden the diversity of accelerators and workloads modeled by Accel-Sim, integrating with broader system simulation frameworks. Additionally, the project will develop advanced workload sampling and telescopic level-of-detail modeling to enable scalable, accurate simulation of long-running, compute-heavy workloads. These enhancements will empower a broad community of researchers to advance innovations in computer architecture, improve system efficiency, and support the development of emerging applications that rely on high-performance accelerators.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $360.0k | 7/17/25 |