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Author

Trevor E. Carlson

2 papers indexed here

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Open access Jul 2026

DGNA: Dissecting GPU NUMA Architecture through Microbenchmarking and Data Analysis

Graphics Processing Units (GPUs), due to their immense parallel processing capabilities, have become essential across various fields, including gaming and artificial intelligence. With significant advancements in GPU cores, GPU memory efficiency has lagged, resulting in bottlenecks that can limit workload efficiency. T...

Changxi Liu, Yun Chen, Trevor E. Carlson · 1 citation
Open access Aug 2026

A Cache Modeling Framework for Accelerator Systems

Modern hardware accelerators increasingly rely on cache-based memory systems to improve modularity and tolerate irregular memory behavior in sparse and data-dependent workloads. However, configuring accelerator caches remains challenging: designers must choose cache capacity, Miss Status Holding Register (MSHR) count,...

Lingfeng Pei, Wei Siew Liew, Udaree Kanewala et al. · 0 citations

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