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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 한국정보통신학회 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 2019 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING Vo.11 No.1
- 발행연도
- 2019.6
- 수록면
- 285 - 288 (4page)
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초록· 키워드
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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.
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.
목차
Abstract
I. INTRODUCTION
II. EXPERIMENT ENVIRONMENT
III. RESULTS
IV. DISCUSSION AND CONCLUSIONS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2019-004-000921372