Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
We propose a new instruction, branch-on-random, that is like a standard conditional branch, except rather than specifying the condition on which the branch should be taken, it spe...
Solving large, irregular graph problems efficiently is challenging. Current software systems and commodity multiprocessors do not support fine-grained, irregular parallelism wel...
Guojing Cong, Sreedhar B. Kodali, Sriram Krishnamo...
It is becoming increasingly important to be able to adapt an application’s behavior at run time in response to changing requirements and environmental conditions. Adaptive progr...
We present a memory efficient, practical, systolic, parallel architecture for the complete 0/1 knapsack dynamic programming problem, including backtracking. This problem was inte...