Load latency remains a signi cant bottleneck in dynamically scheduled pipelined processors. Load speculation techniques have been proposed to reduce this latency. Dependence Predi...
In spirit of the earlier works done by Arthur (1992) and Palmer et al. (1993), this paper models speculators with genetic programming (GP) in a production economy (Muthian Economy)...
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
This paper introduces a novel technique which leverages value prediction and multithreading on a simultaneous multithreading processor to achieve higher performance in a single th...
Recently, the practice of speculation in resolving data dependences has been studied as a means of extracting more instruction level parallelism (ILP). An outcome of an instructio...