Cognitive architectures aspire for generality both in terms of problem solving and learning across a range of problems, yet to date few examples of domain independent learning has...
Power minimization under variability is formulated as a rigorous statistical robust optimization program with a guarantee of power and timing yields. Both power and timing metrics...
This paper is concerned with the optimal control of linear discrete-time systems, which are subject to unknown but bounded state disturbances and mixed constraints on the state an...
Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejow...
Configurable on chip multiprocessor systems combine advantages of task-level parallelism and the flexibility of field-programmable devices to customize architectures for paralle...
Harold Ishebabi, Philipp Mahr, Christophe Bobda, M...
We describe sequential and parallel algorithms that approximately solve linear programs with no negative coefficients (a.k.a. mixed packing and covering problems). For explicitly ...