Project Grant 2616611
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Washington $500,000 on September 1, 2026, under the Computer and Information Science and Engineering program for collaborative research to co-design integrated AI-enabled compiler-runtime systems for heterogeneous high-performance computing architectures. The project, titled HELIX, addresses fragmentation in supercomputer software by creating a unified control system that coordinates...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Louisiana TECH University $599,982 on August 1, 2026, to develop open cyberinfrastructure for automated synthesis of AI models to hardware under the Computer and Information Science and Engineering program (CFDA 47.070). The project establishes a shared, open platform that enables automated, interoperable, and reproducible translation of AI models into optimized hardware designs. The work develops a unified, open...
- The National Science Foundation Division of Information and Intelligent Systems awarded Louisiana State University $300,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop documentation-guided static analysis approaches for framework compliance verification. The project translates informal framework documentation into formal specifications using targeted retrieval and controlled generation, then applies those specifications to check...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of California, San Diego $215,035 on May 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on compiler infrastructure redesign to support scientific computing. The project develops methods to synthesize domain-specific and program-specific static analyses that enable scientists to express and statically enforce complex...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of Louisiana at Lafayette $299,927 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop memory-centric hardware architectures for energy-efficient artificial intelligence inference at the edge. The research addresses artificial intelligence deployment in resource-constrained devices including wearables, environmental sensors,...
- The National Science Foundation Division of Computer and Network Systems awarded Louisiana State University $300,912 on April 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop practical methods for securing software systems against quantum computing threats. The project creates a quantitative quantum-readiness index that measures system-level quantum risk, a dependency-aware analysis connecting vulnerable cryptography to surrounding software...
- The National Science Foundation Division of Information and Intelligent Systems awarded $507,378 to the University of California, San Diego on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The project addresses efficient execution of applications that interleave operations amenable to hardware acceleration with application-specific logic difficult to offload. The award funds three research thrusts: analysis of how existing applications...
- The National Science Foundation awarded Louisiana State University $302,955 on September 1, 2026, under the Integrative Activities program (CFDA 47.083) to develop a systematic measure of AI-mediated appropriability risk—the extent to which a field's open scientific record, combined with frontier AI capabilities, allows outsiders to predict and potentially preempt near-term research outputs. The project addresses three connected research questions. The team develops a measurement instrument...
- The National Science Foundation awarded Louisiana State University $274,244 on September 15, 2025, under the STEM Education program (CFDA 47.076) to design, develop, and pilot prototype instructional materials integrating computer science into elementary grades 3–5 core content areas in South Louisiana public and charter schools. The project, TIME4CSFORLOUISIANA, establishes a research-practice partnership among traditional public schools and public charter schools in urban and rural South...
- The National Science Foundation Division of Information and Intelligent Systems awarded Louisiana State University $194,596 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop an adaptive protocol for improving superdense coding in noisy quantum networks. The project, titled "Enhancing the Capacity of Quantum Channel Using Information Entropy-Based Metrics Guided Adaptive Purification," will combine quantum error correction...
The National Science Foundation Division of Information and Intelligent Systems awarded Louisiana State University $499,896 under the Computer and Information Science and Engineering program (CFDA 47.070) on September 1, 2026, to develop integrated compiler-runtime systems that coordinate scheduling, memory placement, and communication across heterogeneous high-performance computing architectures. The HELIX project addresses fragmentation in supercomputer software, where diverse processors and accelerators rely on incompatible layers—MPI, OpenMP, CUDA, HIP—that create optimization conflicts and force manual coordination of work distribution and data movement. The research aims to establish a unified control substrate built on HPX that allows existing program components to connect without redesign, enabling new accelerators to integrate without rewriting applications. The recipient will co-design a compiler-visible library and embedded domain-specific language surface for expressing asynchrony and intent through constructs and metadata annotations; extend compilers to recognize these constructs and emit persistent intent metadata and variant families; establish metadata and telemetry as bidirectional coordination channels between compiler, runtime, and specialization backends; and develop integrated runtime strategies using rules, variants, just-in-time compilation, and learning to deliver stable, low-overhead performance portability. The fundamental research objective is to identify what information must cross software-stack boundaries, which control knobs matter at decision points, and what coordination strategies ensure end-to-end scheduling, placement, and communication decisions. Performance of work occurs in Baton Rouge, Louisiana. The award period runs from September 1, 2026, through August 31, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $499.9k | 7/29/26 |