Abstract
The warp scheduler plays an important role in the GPU for efficient utilization of hardware resources. However, the efficiency of the warp scheduler is often limited by the L1 cache (especially, L1 data cache) capacity; providing large capacity for an L1 cache is challenging due to the increased latency. In this paper, we adopt Monolithic 3D (M3D) technology to design a large capacity L1 cache for GPU performance enhancement, not deteriorating the latency. Our evaluation results show that the M3D L1 cache improves GPU performance by 2.18~2.24× on average, compared to the 2D conventional L1 cache.
Original language | English |
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Title of host publication | International Symposium on Low Power Electronics and Design, ISLPED 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728129549 |
DOIs | |
Publication status | Published - 2019 Jul |
Event | 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2019 - Lausanne, Switzerland Duration: 2019 Jul 29 → 2019 Jul 31 |
Publication series
Name | Proceedings of the International Symposium on Low Power Electronics and Design |
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Volume | 2019-July |
ISSN (Print) | 1533-4678 |
Conference
Conference | 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2019 |
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Country/Territory | Switzerland |
City | Lausanne |
Period | 19/7/29 → 19/7/31 |
Bibliographical note
Funding Information:Development Program through the National Research Foundation of Korea funded by the Ministry of Science, ICT & Future Planning (MSIP) (No. 2015M3A7B7045470), and Samsung Electronics. We would also like to thank Ji Heon Lee for his help with thermal simulation and anonymous reviewers for their helpful feedback.
Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2017R1A2B2002930), Nano Material Technology Development Program through the National Research Foundation of Korea funded by the Ministry of Science, ICT & Future Planning (MSIP) (No. 2015M3A7B7045470), and Samsung Electronics. We would also like to thank Ji Heon Lee for his help with thermal simulation and anonymous reviewers for their helpful feedback.
Funding Information:
ACKNOWLEDGMENT Sung Woo Chung is the corresponding author of this paper. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2017R1A2B2002930), Nano Material Technology
Publisher Copyright:
© 2019 IEEE.
Keywords
- GPGPU
- Monolithic 3D
- Warp Scheduling
ASJC Scopus subject areas
- General Engineering