지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.11
- 수록면
- 175 - 178 (4page)
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초록· 키워드
오류제보하기
In the state-of-the-art VLSI designs, the importance of leakage current estimation is significantly growing. This paper presents a new approach to leakage current modeling, which is to be used for GPGPU (General-Purpose Computing on Graphics Processing Units) systems. In the traditional leakage estimation, statistical approaches are used to compromise with the huge computational complexity that the Monte-Carlo (MC) analysis requires. However, these approaches are known to be inaccurate due to the inherent modeling difficulty. In contrast, the recent development of computing technology is making the use of GPGPU widely popular where parallel processing is possible, and MC analysis is certainly one of the very promising application areas. In this paper, we investigate the modeling accuracy of two piecewise polynomial interpolation methods, i.e., piecewise linear and cubic spline, for leakage estimation in comparison with traditional statistical approaches. The experimental results illustrates that the proposed approach provides much higher accuracy than the statistical approaches, exhibiting less than 5% and 2% errors in case of piecewise-linear and cubic spline interpolation methods, respectively, when compared to HSPICE estimation results.
목차
Abstract
I. INTRODUCTION
II. EXISTING LEAKAGE MODEL
III. LEAKAGE ANALYSIS WITH PIECEWISE POLYNOMIAL INTERPOLATION
IV. EXPERIMENTS
V. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2013-569-001474681