Another key step to implement a parallel algorithm on a GPU is to write and optimize your kernel code. A kernel is a function that runs on the GPU and performs the main computation of your algorithm.

Accelerated k-means algorithm using GPU. intro: This repo contains the source code for k-means GPU acceleration project. This project aims to implement GPU acceleraion (using 3 methods) on the ...

Abstract: Universal combinatorics coding is a new kind of coding method and whole ordinal plays an important role in universal combinatorics coding. Whole ordinal GPU parallel algorithm is proposed in ...

There are different types of flowchart symbols and conventions, such as ANSI, ISO, or UML, that you can use to document your algorithm. You should choose a standard notation that is consistent ...

MATERIALS AND METHODS A well-stirred, homogenous mixture neglecting both spatial considerations and reactions with time “delays” was assumed to provide the simplest implementation of Gillespie’s ...

The algorithm was specifically designed to take advantage of the high GPU bandwidth and runs well on both OpenCL 1.2 (Intel® HD Graphics 4600) and OpenCL 2.0 drivers (Intel® HD Graphics 4600 and ...