A High-bandwidth High-capacity Hybrid 3D Memory for GPUs-Reference-Cited by-同舟云学术

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A High-bandwidth High-capacity Hybrid 3D Memory for GPUs

Published:2024-06-10 Issue: Volume: Page:67-68
ISSN:
Container-title:Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems
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Author:

Akbarzadeh Negar¹^ORCID,Darabi Sina²^ORCID,Gheibi-Fetrat Atiyeh¹^ORCID,Mirzaei Amir¹^ORCID,Sadrosadati Mohammad³^ORCID,Sarbazi-Azad Hamid⁴^ORCID

Affiliation:

1. Sharif University of Technology, Tehran, Iran

2. Institute for Research in Fundamental Sciences (IPM) & Università della Svizzera italiana (USI), Tehran, Iran

3. Institute for Research in Fundamental Sciences (IPM), Tehran, Iran

4. Sharif University of Technology & Institute for Research in Fundamental Sciences (IPM), Tehran, Iran

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652963.3655057

Reference9 articles.

1. Architecting an Energy-Efficient DRAM System for GPUs

2. Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs

3. Sina Darabi, Mohammad Sadrosadati, Negar Akbarzadeh, Joël Lindegger, Moham- mad Hosseini, Jisung Park, Juan Gómez-Luna, Onur Mutlu, and Hamid Sarbazi- Azad. 2022. Morpheus: Extending the Last Level Cache Capacity in GPU Systems Using Idle GPU Core Resources. In 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO). IEEE, 228--244.

4. Adaptive Page Migration for Irregular Data-intensive Applications under GPU Memory Oversubscription

5. Data Convection

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