Official Website: Utah Arch Research Group
source confidence: Medium status: Useful updated 2026-06-19
Summary
The Utah Arch Research Group's official website describes the group's research focus on hardware architecture for machine learning and privacy-preserving computation, including work on fully homomorphic encryption (FHE) accelerators, ML inference hardware, and emerging compute substrates such as 3D nanofabric. The site lists current and past members, publications, funded projects, and contact information.
Useful Claims
- The site describes research on memory systems, machine learning accelerators, neuromorphic architectures, hardware ray-tracing, and memory security at the University of Utah School of Computing.
- Recent publications listed include work at ASPLOS, IEEE S&P, HPCA, ISCA, MICRO, and related venues, including encrypted-inference and lattice-cryptography hardware and a 3D nanofabric ML accelerator paper.
- Claims about NSF/DARPA funding, industry collaborations, and PhD alumni placements at specific companies are not in this capture.
Verbatim
"The Utah Arch research group is involved in Computer Architecture and VLSI Research at the School of Computing, University of Utah." — Home page, group overview
"The group's current research focuses on memory systems, machine learning accelerators, neuromorphic architectures, hardware ray-tracing, and memory security." — Home page, group overview
"Hyena: Balancing Packing, Reuse, and Rotations for Encrypted Inference - S&P 2024" — Home page, recent publications
"A Multiply-and-Accumulate Array for Machine Learning Applications Based on a 3D Nanofabric Flow - IEEE Transactions on Nanotechnology 2021." — Home page, recent publications
"Dvé: Improving DRAM Reliability and Performance On-Demand via Coherent Replication - ISCA 2021." — Home page, recent publications
Reliability Notes
This is an official university research group website. It is useful for understanding the group's research scope, publication record, and funding. Academic group websites frequently lag actual membership and active project status; the publications list at the linked venue proceedings is a more reliable indicator of current research output than the group website itself. Claims about research significance and commercial applicability should be evaluated against the underlying published papers rather than the website description.
Related Pages
See Also
- HPCA proceedings · https://hpca-conf.org — IEEE International Symposium on High-Performance Computer Architecture; primary venue for Utah Arch publications
- ASPLOS proceedings · https://asplos-conference.org — ACM SIGARCH/SIGOPS/SIGPLAN conference; another primary venue
- IEEE S&P proceedings · https://www.ieee-security.org/TC/SP/ — IEEE Symposium on Security and Privacy; venue for FHE and cryptographic hardware work