Multimedia extensions are nearly ubiquitous in today’s general-purpose processors. These extensions consist primarily of a set of short-vector instructions that apply the same opcode to a vector of operands. Vector instructions introduce a data-parallel component to processors that exploit instruction-level parallelism, and present an opportunity for increased performance. In fact, ignoring a p...

Increasinglywider superscalarprocessors are experiencingdi-minishing performance returns while requiring larger portions of die area dedicated to control rather than datapath. As an alternative to using these processors to exploit parallelismeeectively, we are investigating the viability of using single-chip vector microprocessors. This paper presents some initial results of our investigation w...

in some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. in this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...

Vector quantization is a powerful tool for speech coding applications. This paper deals with LPC Coding of speech signals which uses a new technique called Multi Switched Split Vector Quantization (MSSVQ), which is a hybrid of Multi, switched, split vector quantization techniques. The spectral distortion performance, computational complexity, and memory requirements of MSSVQ are compared to spl...

We examine the performance of parallel algorithms for rst-order linear recurrence on vector computers, evaluate them quantitatively on a simple model of vector computers, and propose new fast algorithms. We also show a result of performance benchmarking of them on actual vector computers.