Project Grant 1621443

This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Phase I Small Business Innovation Research (SBIR) grant of $275,000 awarded to Lumoniq Inc. supports research and development of a nanoscale hybrid optical interconnect platform to revolutionize internal computer chip connections. The project aims to commercialize a new approach called Coupled Hybrid Plasmonics (CHP) that uses the interaction of light and metals to enable high-bandwidth, low-power,...

This $250,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop domain-specific 3D ReRAM-based Processing-in-Memory (PIM) accelerators for streaming time series applications. The collaboration between researchers at UC Riverside, Arizona State University, Georgia Institute of Technology, and Washington State University aims to define CBA-PIM accelerators for time series data analytics,...

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 $360,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to revolutionize computer memory by developing new materials and devices for high-density, energy-efficient magnetic random-access memory (MRAM). The research focuses on creating wafer-scale epitaxial van der Waals spin heterostructures using two-dimensional ferromagnetic and topological quantum materials. These novel materials are expected to enable highly...

This $121,781 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research and development at Arizona State University (ASU) on fast and efficient DNA sequence alignment using non-volatile magnetic RAM (MRAM) and in-memory computing architecture. The project aims to develop new in-memory computing methods and DNA alignment algorithms to enable large-scale, high-speed genomic data analytics....

This SBIR Phase I Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $275,000 in funding to Radius Technology Systems, Inc. to develop a high-throughput smart contract platform capable of processing over 1 million transactions per second. The key innovation is the ability to execute smart contract transactions in parallel without needing to serialize a global order, enabling horizontal scalability. The platform...

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)...

This $303,328 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop efficient indexing and similarity search algorithms that leverage processing-in-memory (PIM) architectures. The project aims to address challenges of processing large scientific datasets, which are often memory-bound, by designing PIM-aware data structures and algorithms for range searches, similarity searches, and...

This $305,000 Small Business Innovation Research (SBIR) Phase I project, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop a novel, non-destructive, in-line inspection technology to improve the quality and efficiency of semiconductor manufacturing. The project focuses on building and testing an advanced inspection tool that leverages quantum sensing techniques to quickly and accurately identify hidden...

This Project Grant award of $296,664 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) supports research at Northern Arizona University (NAU) to develop efficient indexing and similarity search algorithms that leverage processing-in-memory (PIM) architectures for data-intensive scientific workloads. The key objectives are to design PIM-aware data structures and algorithms for range, similarity, and nearest neighbor searches...