This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Grayskytech, Inc. aims to develop a novel technology that will dramatically improve the speed and cost-effectiveness of integrated circuit (IC) design verification. The innovation involves a highly parallel, configurable computer architecture that can effectively turn a single FPGA into hundreds of fast virtual processors. This will enable 30x faster behavioral...
This Project Grant award of $644,035 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to enhance the performance and programmability of field programmable gate arrays (FPGAs). The project focuses on integrating compute-in-memory (CIM) technology into FPGA memory blocks, which can significantly increase computing power and energy efficiency. Key objectives include: Integrating CIM support into high-level synthesis (HLS)...
This SBIR Phase I award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (TIP) program, with a total funding amount of $274,985, is focused on developing an artificial intelligence (AI) system to accelerate semiconductor production using physics-embedded lithographic foundation models. The project aims to alleviate design and manufacturing complexities associated with the shift to extreme ultraviolet (EUV) lithography in semiconductor manufacturing, which has...
The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University, Division (doing business as Orspa), for the project "COLLABORATIVE RESEARCH: SHF: MEDIUM: TINY CHIPLETS FOR BIG AI: A RECONFIGURABLE-ON-PACKAGE SYSTEM". This 4-year project (7/1/2024 - 6/30/2028) aims to pioneer a computing system for massive AI workloads, including new architectural and design automation...
This $1,000,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support the development of automated artificial intelligence (AI) systems to design high-frequency computer chips with minimal human intervention. The key products and services to be delivered include: Co-designing deeply pipelined zero-knowledge proof (ZKP) accelerators, a cutting-edge cryptographic technology for privacy-preserving...
This federal Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $960,000 to Cornell University to develop new methods for optically interconnecting multiple chips within computer servers. The goal is to enable faster and more energy-efficient data transfer between accelerators, such as GPUs, which is crucial for applications like artificial intelligence, climate modeling, and biomedical...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Xmize LLC aims to develop an AI-powered software for optimizing wire routing in the design of custom analog/mixed-signal integrated circuits, MEMS, and optoelectronics. The proposed innovations include applying graph search methods to identify routable layout regions, developing mathematical models of complex design rules, and deploying an AI-powered solver to generate...
The National Science Foundation (NSF) awarded a $274,995 SBIR Phase I project grant under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to Tiptek, LLC, a small for-profit limited liability company. The project aims to improve a critical semiconductor manufacturing method called nanoprobing by enabling the technique to probe smaller and more complex electrical devices for longer periods. The improved nanoprobes developed through this research will support the...
This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), aims to revolutionize artificial intelligence (AI) training through the development of a novel chip architecture called Co-FABPRO (Concurrent Forward and Backward Propagation). The $200,000 award, with a project period from October 1, 2024 to September 30, 2026, seeks to create a disruptive approach that will make AI...
The National Science Foundation awarded a $157,203 Project Grant to the University of Arizona under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct research related to scaling general-purpose processors into the exascale era. Specifically, the award will fund research to design reconfigurable aggregated virtual chips utilizing heterogeneous aggregated chiplets and a hybrid wireless interconnection network. This is intended to enable systems...
This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 to Axpro Semi, a small business located in Sunnyvale, CA. The funding supports the development of a RISC-V and FPGA pipeline-coupled heterogeneous compute microprocessor architecture and emulation software tools. The goal is to dramatically improve CPU performance and enable more affordable, energy-efficient, and scalable computing solutions for emerging applications like artificial intelligence, machine learning, blockchain, and big data processing. The award period runs from September 1, 2024 to April 30, 2025. This research and development effort aims to revolutionize traditional computer architecture by shifting from von-Neumann instruction-based computing to flexible content computing, which is expected to significantly enhance computational efficiency and sustainability.