DUB
Author:
Affiliation:
1. Georgia Institute of Technology
2. Advanced Micro Devices, Inc.
3. University of Washington
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3479876.3481590
Reference18 articles.
1. Johnathan Alsop et al. 2019. Optimizing GPU cache policies for MI workloads. In 2019 IISWC. IEEE 243--248. Johnathan Alsop et al. 2019. Optimizing GPU cache policies for MI workloads. In 2019 IISWC. IEEE 243--248.
2. AMD. 2017. Radeon's next-generation Vega architecture. https://en.wikichip.org/w/images/a/a1/vega-whitepaper.pdf AMD. 2017. Radeon's next-generation Vega architecture. https://en.wikichip.org/w/images/a/a1/vega-whitepaper.pdf
3. Scalable Distributed Last-Level TLBs Using Low-Latency Interconnects
4. The gem5 simulator
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2. A Research Retrospective on AMD's Exascale Computing Journey;Proceedings of the 50th Annual International Symposium on Computer Architecture;2023-06-17
3. Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study;IEEE Transactions on Visualization and Computer Graphics;2023
4. Cost Efficient GPU Cluster Management for Training and Inference of Deep Learning;Energies;2022-01-10
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