ICFICE 2019
Current Result Document : 9 / 104
| 한글제목(Korean Title) |
Performance and energy efficiency analysis of Cache Memory Architecture in GPGPU |
| 영문제목(English Title) |
Performance and energy efficiency analysis of Cache Memory Architecture in GPGPU |
| 저자(Author) |
Cheol-Won Jo
Seong-Hun Lee
Kwang-Yeob Lee
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| 원문수록처(Citation) |
VOL 11 NO. 01 PP. 0285 ~ 0288 (2019. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Recently, researches on machine learning based on GPU are actively being carried out. As a result, research on machine learning in an embedded environment having limited resources due to the development of mobile phones and mobile devices is actively under way. Mobile GPGPU requires miniaturization and low power consumption due to its characteristics. Especially, due to the nature of machine learning, there is a lot of reuse of data, which requires an efficient cache structure. Therefore, in this paper, we try to show the cache efficiency and energy consumption according to the cache structure by quantitatively measuring various cache structures.
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| 키워드(Keyword) |
GPGPU
GPGPU-Sim
Cache
machine learning
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| 파일첨부 |
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