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• Published Subscription 25 Feb 2020

  A Novel Approach for Confidence Estimation using Support Vector Machines for More Accurate Value Prediction

  By Snigdha M. Mohapatra, Pradipta K. Mishra, Ajit Kumar Das

  Abstract: Data dependencies create hurdles in exploiting instruction-level parallelism (ILP) among instructions. To overcome them, data value predictors are used which guess instructions’ result before it is actually executed. Thus, future instructions which depend on the outcome of that instruction executes sooner. But, since value prediction accuracy is very crucial in determining the amount of parallelism that can be exploited, confidence estimation is used along with it to lessen the value …

  Published in Journal of Advancements in Robotics · Vol. 1, Issue 2, 2014 · pp. 18–29 Read article →