Abstract. Sac (Single Assignment C) is a strict, purely functional programming language primarily designed with numerical applications in mind. Particular emphasis is on efficient ...
We present a simple and novel framework for generating blocked codes for high-performance machines with a memory hierarchy. Unlike traditional compiler techniques like tiling, whi...
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
An approach for a program is presented that automatically detects the position of pitch accents and intonation phrase (IP) boundaries from waveforms. The technique maps acoustic c...
We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the sche...