Project Grant 2340011
- This $131,959 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research conducted by Rutgers, The State University to develop new deep learning training methods that can efficiently scale to utilize high-performance computing (HPC) systems. The key goals are to: 1) Explore techniques like second-order information approximation, computation-communication tradeoffs, and data compression to enhance the speed...
- The U.S. National Science Foundation (NSF) awarded a $120,120 CAREER grant under the Computer and Information Science and Engineering (CISE) program to The Johns Hopkins University. The project, titled "DEEPMATTER: A Scalable and Programmable Embedded Deep Neural Network", will develop novel methodologies for optimizing deep neural network (DNN) models to enable their deployment on embedded systems with limited hardware resources and power budgets. The research aims to create new DNN...
- The National Science Foundation (NSF) awarded a $360,000 CAREER program grant to Massachusetts Institute of Technology (MIT) for the project "EFFICIENT ARCHITECTURES AND ALGORITHMS FOR LANGUAGE MODELING". Under this 5-year project grant (award date: Jul 1, 2025, end date: Jun 30, 2030), the objective is to develop new methods for efficient, architecture-aware algorithms for language modeling using large language models (LLMs). The key project aims are to: (1) create architectural...
- This federal Project Grant award, titled "CAREER: TOWARD IMPROVING SCALABILITY FOR EFFECTIVE HEALTH LLMS," is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070). The $348,227 award, effective September 1, 2025 through August 31, 2030, supports research to improve the effectiveness and scalability of large language models (LLMs) for healthcare applications. The key objectives are to develop evaluation...
- The National Science Foundation awarded a $240,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to Rutgers, The State University in New Brunswick, NJ. The goal of this 3-year grant is to develop transformative machine-learning and data analytics technologies to enable AI-based applications on resource-constrained edge computing devices like IoT devices, AR/VR headsets, and drones. The project seeks to address the gaps between the data...
- The National Science Foundation (NSF) awarded a $559,751 Computer and Information Science and Engineering (CISE) program grant to the New Jersey Institute of Technology (NJIT) for the "SCALABLE OPEN-SOURCE PLATFORM FOR REAL-WORLD FLUID-STRUCTURE INTERACTION CHALLENGES" project. This 5-year CAREER award, effective September 1, 2025, aims to develop a scalable, open-source computational platform that leverages advanced particle methods to model complex fluid-structure interaction...
- The National Science Foundation (NSF) awarded a $221,138 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the University of California, Merced. The grant, titled "CAREER: REFORMING PROFILING TECHNIQUES TO GUIDE SYSTEMIC PERFORMANCE TUNING FOR GPU-ACCELERATED DEEP LEARNING WORKLOADS", will fund research to develop advanced profiling techniques for improving the performance of deep learning models running on graphics processing...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $182,252 to Rutgers, The State University to develop an end-to-end framework for coordinating the management of disaggregated near-hardware data processing accelerators. The award aims to create a scalable, high-performance, reliable, and energy-efficient system capable of meeting the growing demand for data processing across...
- The National Science Foundation (NSF) awarded a Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to Rutgers, The State University Research Financial Services Division. The $1,199,126 award, effective August 1, 2024 through July 31, 2027, will fund the development of HPCGPT, a question-answering service to enhance user support at academic high-performance computing (HPC) centers. HPCGPT leverages generative AI and integrates...
- Rutgers, The State University was awarded a $499,926 project grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund research from October 2021 through September 2024 to enable interpretable artificial intelligence via Bayesian deep learning. The Computer and Information Science and Engineering program supports investigator-initiated research and education in all areas of computing, communications, and...
This NSF CAREER project award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $599,707 to Rutgers, The State University to develop innovative algorithms, systems, and interface designs to enable efficient and scalable training of large foundational deep learning models on supercomputers. The research aims to address key challenges in the performance, scalability, and human effort required for large-scale foundational model pre-training, which is critical for advancing scientific research in areas such as genomics, bioinformatics, and natural language processing. The project includes four technical thrusts focused on optimization techniques, gradient sparsification, parallel model deployment, and educational activities like courses and workshops to broaden adoption of these advancements. The research results and software will be publicly released to benefit the broader research community. No subawards are planned under this grant, which has a project period from July 1, 2024 to June 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $599.7k | 11/20/23 | ||
| Not listed | $0 | 11/20/23 |