This paper is focused on Intel Advanced Vector Extension (AVX) which has been borne of
the modern developments in AMD processors and Intel itself. Said prescript processes a …

Matrix–vector multiplication kernel is one of the most important and common computational
operations which form the core of varied important application areas such as scientific and …

Loop unrolling is a well known technique, which usually results with speedup of a program
that contains loops. The effect is obtained by reducing the operations that require counter …

In contrast to pure video servers, advanced applications such as digital libraries or
teleteaching exhibit a mixed workload with massive access to conventional," discrete" data …

Matrix multiplication is a widely used algorithm in today's computing. Speeding up the
multiplication of huge matrices is imperative for scientists and they are trying to discover the …

Matrix multiplication is an operation used in many algorithms with a plethora of applications
ranging from Image Processing, Signal Processing, to Artificial Neural Networks and Linear …

Deep Neural Network training algorithms consumes long training time, especially when the
number of hidden layers and nodes is large. Matrix multiplication is the key operation carried …

Utilizing all CPU cores available for numerical computations is a topic of considerable
interest in HPC. This paper analyzes and compares four different parallel algorithms for …

Prefetching reduces data fetch latency and augments the speed of program execution. This
paper presents an analysis model for selecting the optimum prefetching pattern for matrix …

Métodos numéricos sao utilizados em diversas áreas de pesquisa, como em aplicaç oes de
simulaç oes de fenômenos naturais. Dentre as operaç oes frequentemente utilizadas tem-se …