Design and Analysis of Extended Scale Cache (ESC) Stacked-GPU-HBM Module Architecture Considering Power Integrity (PI)

This paper proposes the extended scale cache (ESC) stacked-graphics processing unit (GPU)-high bandwidth memory (HBM) module architecture. The main concept of the proposed architecture involves stacking an ESC, which is an L2 cache, atop a GPU to decrease off-chip data movement, thereby reducing power consumption and latency. However, the simultaneous switching noise (SSN) of the proposed architecture is increased due to additional switching noise transferred from the ESC to the GPU cores, leading to degraded power integrity (PI) performance. To ensure stable PI performance of the proposed architecture, we design and analyze the hierarchical power distribution network (PDN) of the proposed architecture and the simultaneous switching current (SSC) for both the GPU and ESC. Additionally, we conduct modeling and analysis of the SSN of the proposed architecture. By employing decoupling capacitors (decaps) with a total capacity of 1,152 nF, the SSN of the proposed architecture is reduced to 7.65 mV, which is 0.695% of the supply voltage (VDD), demonstrating that the proposed architecture guarantees reliable PI performance.

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Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/epeps61853.2024.10754546
Citations
2
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.98
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article

Design and Analysis of Extended Scale Cache (ESC) Stacked-GPU-HBM Module Architecture Considering Power Integrity (PI)

Keeyoung Son, Hyunah Park, Jung‐Min Ahn, Taein Shin et al.
2 citations
Parallel Computing and Optimization Techniques
0.98
article

Design and Analysis of Extended Scale Cache (ESC) Stacked-GPU-HBM Module Architecture Considering Power Integrity (PI)

Keeyoung Son, Hyunah Park, Jung‐Min Ahn, Taein Shin, Jiwon Yoon, Haeyeon Kim, Junghyun Lee, Tae Soo Kim, Haeseok Suh, Seonguk Choi, Joungho Kim, Hyunjun An
article en
2 citations

Abstract

This paper proposes the extended scale cache (ESC) stacked-graphics processing unit (GPU)-high bandwidth memory (HBM) module architecture. The main concept of the proposed architecture involves stacking an ESC, which is an L2 cache, atop a GPU to decrease off-chip data movement, thereby reducing power consumption and latency. However, the simultaneous switching noise (SSN) of the proposed architecture is increased due to additional switching noise transferred from the ESC to the GPU cores, leading to degraded power integrity (PI) performance. To ensure stable PI performance of the proposed architecture, we design and analyze the hierarchical power distribution network (PDN) of the proposed architecture and the simultaneous switching current (SSC) for both the GPU and ESC. Additionally, we conduct modeling and analysis of the SSN of the proposed architecture. By employing decoupling capacitors (decaps) with a total capacity of 1,152 nF, the SSN of the proposed architecture is reduced to 7.65 mV, which is 0.695% of the supply voltage (VDD), demonstrating that the proposed architecture guarantees reliable PI performance.

Korea Advanced Institute of Science and Technology (KR)
Affordable and clean energy
Openalex Percentile: Top 23%
Parallel Computing and Optimization Techniques
0.98
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Design and Analysis of Extended Scale Cache (ESC) Stacked-GPU-HBM Module Architecture Considering Power Integrity (PI) — Keeyoung Son, Hyunah Park, et al. · (2024) | TGRS Research Map | TGRS