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UC Davis Computer Architecture

CXL-ClusterSim: Modeling CXL-based Disaggregated Memory Cluster for Pooling and Sharing using gem5 and SST

Jason Lowe-Power (jlowepower@ucdavis.edu)
13d ago

Large-scale AI training and inference require hundreds of gigabytes to terabytes of DRAM with high peak to average utilization ratios, resulting in overprovisioning. In cloud computing, DRAM constitutes a significant share of the cost. Yet, as shown by recent articles, DRAM is heavily under utilized. Memory disaggregation is a solution to both these problems. With the advent of the CXL protocol, …

cloud-computingcomputer-sciencedistributed-systemstechnology

Implications of Full-System Modeling for Superconducting Architectures

Jason Lowe-Power (jlowepower@ucdavis.edu)
13d ago

As Moore’s Law slows, superconducting electronics offer ultra-low-power, high-speed computation potential. This paper presents the first full-system superconducting architecture modeling in gem5, evaluating superconducting cores, caches, and interconnects under realistic workloads. We extend gem5 with cryogenic semiconductor (4 GHz) and superconducting (100 GHz) RISC-V cores and multi-level cache…

engineeringnanotechnologysuperconductors

TDRAM: Tag-enhanced DRAM for Efficient Caching

Jason Lowe-Power (jlowepower@ucdavis.edu)
2/27/2025

Maryam Babaie, Ayaz Akram, Wendy Elsasser, Brent Haukness, Michael R. Miller, Taeksang Song, Thomas Vogelsang, Steven C. Woo, Jason Lowe-Power

computer-architectureengineering