Utah Arch Research Group

The Utah Arch research group is involved in Computer Architecture and VLSI Research at the School of Computing, University of Utah. Led by Dr. Rajeev Balasubramonian, Dr. Erik Brunvand, and Dr. Vijay Nagarajan the group explores many aspects of modern and future computing systems. The group’s current research focuses on memory systems, machine learning accelerators, neuromorphic architectures, hardware ray-tracing, and memory security.

Recent Publications

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XCRYPT: Accelerating Lattice Based Cryptography with Memristor Crossbar Arrays - IEEE MICRO 2023.

CANDLES: Channel-Aware Novel Dataflow-Microarchitecture Co-Design for Low Energy Sparse Neural Network Acceleration - HPCA 2022.

A Multiply-and-Accumulate Array for Machine Learning Applications Based on a 3D Nanofabric Flow - IEEE Transactions on Nanotechnology 2021.

OrderLight: Lightweight Memory-Ordering Primitive for Efficient Fine-Grained PIM Computations - MICRO 2021.

Dvé: Improving DRAM Reliability and Performance On-Demand via Coherent Replication - ISCA 2021.

Efficient Oblivious Query Processing for Range and kNN Queries - IEEE Transactions on Knowledge and Data Engineering 2021.