dnrops
/
Surge
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update README.md

This commit is contained in:
Robert F. Dickerson 2016-02-21 08:31:10 -06:00
parent 11715e0c8d
commit 8a3eeffde7
1 changed files with 2 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
README.md
View File

@ -1,11 +1,8 @@
# Surge [![Build Status](https://travis-ci.org/mattt/Surge.svg?branch=master)](https://travis-ci.org/mattt/Surge) [![GitHub license](https://img.shields.io/badge/license-MIT-lightgrey.svg)](https://github.com/mattt/Surge/blob/master/LICENSE)
*Surge is a Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation. *
*Swift + Accelerate*
[Accelerate](https://developer.apple.com/library/mac/documentation/Accelerate/Reference/AccelerateFWRef/_index.html) is a framework that provides high-performance functions for matrix math, digital signal processing, and image manipulation. It harnesses [SIMD](http://en.wikipedia.org/wiki/SIMD) instructions available in modern CPUs to significantly improve performance of certain calculations.
Because of its relative obscurity and inconvenient APIs, Accelerate is not commonly used by developers... which is a shame, since many applications could benefit from these performance optimizations.
Accelerate exposes [SIMD](http://en.wikipedia.org/wiki/SIMD) instructions available in modern CPUs to significantly improve performance of certain calculations. Because of its relative obscurity and inconvenient APIs, Accelerate is not commonly used by developers, which is a shame, since many applications could benefit from these performance optimizations.
**Surge aims to bring Accelerate to the mainstream, making it as easy (and nearly as fast, in most cases) to perform computation over a set of numbers as for a single member.**