What are Machine learning algorithms in Python? Which guide should I choose?"- This guide explains explicitly the operation of Machine Learning methods and how to implement them in Python. Whether you ...

Abstract: Summary form only given. We describe a novel parallel algorithm that implements a dense matrix multiplication operation with algorithmic efficiency equivalent to that of Cannon's algorithm.

Abstract: Nowadays high-performance computing is gradually implementing Exa-scale computing, and the performance of single node has reached several T-flops. Communication problem has become one of the ...

Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of computations. Matrix multiplication is one ...

Matrix classes for matrices that are block-tridiagonal and sparse, and simply "block sparse". These talk together, and furthermore containts an algorithm for inversion of the block-tridiagonal version ...

Matrix-vector multiplications form the core of a plethora of scientific computing and machine learning applications that include solving partial differential equations, forward and back propagation in ...

A couple of projects developed in OCTAVE for numerical analysis of Non-linear Equations, solve Defined Integrals, numerical solution of Ordinary and Partial Differential Equations, Interpolation, and ...

ABSTRACT: Embedded systems used in real-time applications require low power, less area and high computation speed. For digital signal processing, image processing and communication applications, data ...