From 43864f6e7ba239e53f2451871a721c3fa035dd7c Mon Sep 17 00:00:00 2001
From: Jeffrey Phillips Freeman <jeffrey.freeman@syncleus.com>
Date: Sat, 17 Dec 2016 19:11:52 -0500
Subject: [PATCH] Updated for release 1.3.3.
---
source/index.html.haml | 2 +-
source/introduction/getting-started.html.md | 8 ++++----
2 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/source/index.html.haml b/source/index.html.haml
index d92420c..0f5b4c5 100644
--- a/source/index.html.haml
+++ b/source/index.html.haml
@@ -7,7 +7,7 @@ description: Open-source framework for executing native Java code on the GPU.
.row.center
%a#download-button.btn-large.waves-effect.waves-light{:href => "/introduction/getting-started.html"} Get Started
.row.center
- %a.red-text.text-lighten-4{:href => "https://github.com/Syncleus/aparapi"} Release v1.3.2
+ %a.red-text.text-lighten-4{:href => "https://github.com/Syncleus/aparapi"} Release v1.3.3
%br/
- content_for :banner do
diff --git a/source/introduction/getting-started.html.md b/source/introduction/getting-started.html.md
index 67aebdc..3f0dc40 100644
--- a/source/introduction/getting-started.html.md
+++ b/source/introduction/getting-started.html.md
@@ -10,13 +10,13 @@ A GPU has a unique architecture that causes them to behave differently than a CP
Aparapi was originally a project conceived and developed by AMD corporation. It was later abandoned by AMD and sat mostly idle for several years. Despite this there were some failed efforts by the community to keep the project alive, but without a clear community leader no new releases ever came. Eventually we came along and rescued the project. Finally after such a long wait the first Aparapi release in 5 years was published and the community continues to push forward with renewed excitement.
-Below you will find two side-by-side comparisons for the nbody problem on a CPU vs a GPU. The simulation is being run on an inexpensive computer graphics card. This simulation can be run from the Aparapi examples project. It is obvious the drastic performance gains that can be acheived with Aparapi.
+Below you will find two side-by-side comparisons for the nbody problem on a CPU vs a GPU. The simulation is being run on an inexpensive graphics card; you can even run it yourself from the [examples project](https://github.com/Syncleus/aparapi-examples). Its obvious the drastic performance gains that can be acheived with Aparapi.
 
## Support and Documentation
-Aparapi Javadocs: [latest](http://www.javadoc.io/doc/com.aparapi/aparapi) - [1.3.2](http://www.javadoc.io/doc/com.aparapi/aparapi/1.3.2) - [1.3.1](http://www.javadoc.io/doc/com.aparapi/aparapi/1.3.1) - [1.3.0](http://www.javadoc.io/doc/com.aparapi/aparapi/1.3.0) - [1.2.0](http://www.javadoc.io/doc/com.aparapi/aparapi/1.2.0) - [1.1.2](http://www.javadoc.io/doc/com.aparapi/aparapi/1.1.2) - [1.1.1](http://www.javadoc.io/doc/com.aparapi/aparapi/1.1.1) - [1.1.0](http://www.javadoc.io/doc/com.aparapi/aparapi/1.1.0) - [1.0.0](http://www.javadoc.io/doc/com.syncleus.aparapi/aparapi/1.0.0)
+Aparapi Javadocs: [latest](http://www.javadoc.io/doc/com.aparapi/aparapi) - [1.3.3](http://www.javadoc.io/doc/com.aparapi/aparapi/1.3.3) - [1.3.2](http://www.javadoc.io/doc/com.aparapi/aparapi/1.3.2) - [1.3.1](http://www.javadoc.io/doc/com.aparapi/aparapi/1.3.1) - [1.3.0](http://www.javadoc.io/doc/com.aparapi/aparapi/1.3.0) - [1.2.0](http://www.javadoc.io/doc/com.aparapi/aparapi/1.2.0) - [1.1.2](http://www.javadoc.io/doc/com.aparapi/aparapi/1.1.2) - [1.1.1](http://www.javadoc.io/doc/com.aparapi/aparapi/1.1.1) - [1.1.0](http://www.javadoc.io/doc/com.aparapi/aparapi/1.1.0) - [1.0.0](http://www.javadoc.io/doc/com.syncleus.aparapi/aparapi/1.0.0)
For detailed documentation see [Aparapi.com](http://Aparapi.com) or check out the [latest Javadocs](http://www.javadoc.io/doc/com.aparapi/aparapi).
@@ -38,7 +38,7 @@ This particular repository only represents the core Java library. There are seve
## Prerequisites
-Aparapi will run as-is on the CPU, however in order to access the GPU it requires OpenCL to be installed on the local system. If OpenCL isnt found then the library will just fallback to CPU mode.
+Aparapi will run as-is on the CPU, however in order to access the GPU it requires OpenCL to be installed on the local system. If OpenCL isnt found then the library will just fallback to CPU mode. Aparapi supports, and has been tested on, both OpenCL 1.2 and OpenCL 2.0.
**Aparapi runs on all operating systems and platforms, however GPU acceleration support is currently provided for the following platforms: Windows 64bit, Mac OSX 64bit, Linux 64bit, and Linux 32bit.**
@@ -53,7 +53,7 @@ To include Aparapi in your project of choice include the following Maven depende
<dependency>
<groupId>com.aparapi</groupId>
<artifactId>aparapi</artifactId>
- <version>1.3.2</version>
+ <version>1.3.3</version>
</dependency>
```
--
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