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조영일(Y.I. Cho),이상정(S.J. Lee),박종득(J.D. Park),임인칠(I.C. Lim) 한국정보과학회 1984 한국정보과학회 학술발표논문집 Vol.11 No.2
本 論化에서는 microprogram의 全體 遂行時間 및 制御記憶容量을 減少시킬 수 있는 global compaction 알고리즘을 제안하였다. 즉 선택된 path에 대해서 각 MOP의 weight을 고려한 compaction 알고리즘을 적용시키고 bookkeep 과정에서 Copy되는 Mop's를 최소로 함으로써 다른 path에서의 수행시간 및 memory의 증가를 배제시켰다. 또 MI의 format를 short, long format으로 구분하여 필요없는 Memory의 낭비를 제거시켰다.
농림수산식품분야 정보처리를 위한 적응하는 분기히스토리 길이를 갖는 분기예측 메커니즘
고광현,조영일,Ko, K.H.,Cho, Y.I. 국립한국농수산대학교 교육개발센터 2011 현장농업연구지 = Journal of practical agricultural resear Vol.13 No.1
Pipelines of processor have been growing deeper and issue widths wider over the years. If this trend continues, branch misprediction penalty will become very high. Branch misprediction is the single most significant performance limiter for improving processor performance using deeper pipelining. Therefore, more accurate branch predictor becomes an essential part of modem processors for FAFF(Food, Agriculture, Forestry, Fisheries)Information Processing. In this paper, we propose a branch prediction mechanism, using variable length history, which predicts using a bank having higher prediction accuracy among predictions from five banks. Bank 0 is a bimodal predictor which is indexed with the 12 least significant bits of the branch PC. Banks 1,2,3 and 4 are predictors which are indexed with different global history bits and the branch PC. In simulation results, the proposed mechanism outperforms gshare predictors using fixed history length of 12 and 13, up to 6.34% in prediction accuracy. Furthermore, the proposed mechanism outperforms gshare predictors using best history lengths for benchmarks, up to 2.3% in prediction accuracy.
명재형(J.H.Myong),조영일(Y.I.Cho),정태형(T.H.Chong),천길정(G.J.Cheon),한동철(D.C.Han) 한국자동차공학회 1997 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1997 No.11_2
Planetary gear train is more compact in form and endures larger transmission power than other gear systems. The usability is increased in that the mesh is full and constant, and thus it is necessary to study for the design of planetary gear train. In this paper, we have developed the planetary gear train design system which determines gear dimensions such as module, teeth number, helix angle, facewidth, profile modification coefficients. The dimensions is calculated by using optimization technique to minimize the volume of the gear train and satisfy design constraints which include gear strength, interference, etc.