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NOBEL PRIZE 2026

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NSFGRADUATE INVOLVEMENT

Conference: TANGO@SC25

Completed
Institution
Texas A&M University, TX
Principal investigator
Elizabeth L Leake
Funding
$50K
Duration
2025–2026
Open portfolio

Moonbase score

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Abstract

As research workflows become more data-intensive and complex, there is a need for greater acceleration, and GPUs are a popular choice. Federated GPU-heavy systems are fully subscribed, and this practice is costly in terms of energy and hardware. However, innovation that employs next-generation arithmetic, CXL, and RISC-V technologies can produce greater precision with fewer bits, tackling both energy and storage challenges for AI/ML workflows, while paving the way for quantum computing, which will rely on next-generation math and standards. The efforts in this area will support the nation’s leadership in AI and quantum, and strengthen the cyberinfrastructure ecosystem. This project, in collaboration with STEM-Trek Nonprofit and the Conference on Next-Generation Arithmetic (CoNGA), will host the TANGO workshop ahead of the Supercomputing Conference, SC25, in St. Louis, Missouri November 16-22, 2025. Participants will learn how Compute eXpress Link (CXL), RISC-V, and Next-Gen Math drive the revolution toward more energy-efficient supercomputers. With such tools, it is possible to render artificial intelligence and machine learning (AI/ML) workflows with greater precision and fewer bits. A greater understanding of next-gen math is also essential for those who develop embedded systems and quantum arithmetic circuits. This is the 6th workshop in the series and co-funded by industrial support. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

LOADING MOONBASE SCORE

GRADUATE INVOLVEMENTNSCI: National Strategic Computing InitiDirectorate for Computer and Information Science and EngineeringCONFERENCE AND WORKSHOPSEDUCATION AND WORKFORCEgreaterworkflowsarithmeticfewerquantumbitsmathnext-generation

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