This paper presents an evaluation of the BBCS scheme meant to alleviate the performance degradation experienced by Vector Processors (VPs) when manipulating sparse matrices. In particular we address the execution of Sparse Matrix Vector Multiplication (SMVM) algorithms on VPs. First we introduce a Block Based Compressed Storage (BBCS) sparse matrix representation format variants, and a BBCS bas...

In this paper, we consider the automatic performance tuning of dense vector and matrix-vector operations on GPUs. Such operations form the backbone of level 1 and level 2 routines in the Basic Linear Algebra Subroutines (BLAS) library and are therefore of great importance in many scientific applications. As examples, we develop single-precision CUDA kernels for the euclidian norm (SNRM2) and th...

In this paper we propose a three-dimensional vector quantization-based video coding scheme. The algorithm uses a 3D vector quantization pyramidal codebook-based model with adaptive pyramidal codebook for compression. The pyramidal codebook-based model helps in getting high compression in case of modest motion. The adaptive vector quantization algorithm is used to train the codebook for optimal ...

Wavelet image encoders based on bitplanes give excellent results in the compression of still images. The bitplane concept has recently been generalised to vectors, and wavelet image encoders based on vector bitplanes have been proposed, some achieving slightly better rate distortion performances than scalar encoders. There remains the open question of whether the use of vector bitplanes has the...

This paper proposes an auxiliary vector filtering (AVF) algorithm based on a constrained constant modulus (CCM) design for robust adaptive beamforming. This scheme provides an efficient way to deal with filters with a large number of elements. The proposed beamformer decomposes the adaptive filter into a constrained (reference vector filters) and an unconstrained (auxiliary vector filters) comp...

classical lbp such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. in this paper, we introduce an improved lbp algorithm to solve these problems that utilizes fast pca algorithm for reduction of vector dimensions of extracted features. in other words, proffer method (fast pca+lbp) is an improved lbp algorithm that is extracted ...

‎in this paper allocating a fixed resource for producing ‎finite projects in order to obtaining a desired level of‎ ‎efficiency will be discussed‎. ‎note that it is assumed that a ‎vector of limited sources is at hand‎. ‎this vector of resources can‎ ‎be contained human resource‎, ‎budget‎, ‎equipment‎, ‎and facilities‎. ‎in ‎any firm there exist different suggestions from subunits for ‎running...

Background: Migraine headache without aura is the most common type of migraine especially among pediatric patients. It has always been a great challenge of migraine diagnosis using quantitative electroencephalography measurements through feature classification. It has been proven that different feature extraction and classification methods vary in terms of performance regarding detection and di...