From 62dbcc9c6ae2e49ba3f7630785c27e0f28668f37 Mon Sep 17 00:00:00 2001
From: Jeffrey Phillips Freeman <jeffrey.freeman@syncleus.com>
Date: Fri, 2 Dec 2016 17:51:06 -0500
Subject: [PATCH] Moving attributions into the project. Fixed minor typo in
 getting started page.

---
 data/tree.yml                               |  1 -
 source/documentation/Attribution.html.md    | 29 ---------------------
 source/introduction/getting-started.html.md |  2 +-
 3 files changed, 1 insertion(+), 31 deletions(-)
 delete mode 100644 source/documentation/Attribution.html.md

diff --git a/data/tree.yml b/data/tree.yml
index ee191e0..9f9e0d2 100644
--- a/data/tree.yml
+++ b/data/tree.yml
@@ -9,7 +9,6 @@ documentation:
   AddressSpacesUsingBuffers.html.md: "/documentation/AddressSpacesUsingBuffers.html.md"
   AparapiExtensionProposal.html.md: "/documentation/AparapiExtensionProposal.html.md"
   AparapiPatterns.html.md: "/documentation/AparapiPatterns.html.md"
-  Attribution.html.md: "/documentation/Attribution.html.md"
   BuildingNBody.html.md: "/documentation/BuildingNBody.html.md"
   ByteCode2OpenCL.pdf: "/documentation/ByteCode2OpenCL.pdf"
   ChoosingSpecificDevicesForExecution.html.md: "/documentation/ChoosingSpecificDevicesForExecution.html.md"
diff --git a/source/documentation/Attribution.html.md b/source/documentation/Attribution.html.md
deleted file mode 100644
index 573a5f8..0000000
--- a/source/documentation/Attribution.html.md
+++ /dev/null
@@ -1,29 +0,0 @@
----
-    title: Attribution
----
-
-*Attribution Updated Sep 13, 2011 by frost.g...@gmail.com*
-
-##Attribution
-
-AMD, AMD Radeon, the AMD arrow logo, and combinations thereof are trademarks of Advanced Micro Devices, Inc.
-
-OpenCL is a trademark of Apple Inc used under license to the Khronos Group, Inc.
-
-NVIDIA, the NVIDIA logo, and CUDA are trademarks or registered trademarks of NVIDIA Corporation.
-
-Java , JVM, JDK and “Write Once, Run Anywhere" are trademarks of Oracle and/or its affiliates.
-
-Eclipse and the related logos are a trademark of The Eclipse Foundation in the United States, other countries, or both.
-
-Microsoft, Windows, Visual Studio, Visual Studio Express Edition are trademarks of Microsoft Corporation in the United States, other countries, or both.
-
-Linux is a registered trademark of Linus Torvalds
-
-Ubuntu is a trademark of Canonical Ltd
-
-Red Hat is a registered trademark of Red Hat, Inc. in the United States and other countries.
-
-OpenGL® and the oval logo are trademarks or registered trademarks of Silicon Graphics, Inc. in the United States and/or other countries worldwide.
-
-All other names used in this documentation are for identification purposes only and may be trademarks of their respective owners.
diff --git a/source/introduction/getting-started.html.md b/source/introduction/getting-started.html.md
index 4334cb3..e31f003 100644
--- a/source/introduction/getting-started.html.md
+++ b/source/introduction/getting-started.html.md
@@ -5,7 +5,7 @@ A framework for executing native Java code on the GPU.
 
 **Licensed under the Apache Software License v2**
 
-Aparapi allows developers to write native Javacode capable of being executed directly on a graphics card GPU by converting Java byte code to an OpenCL kernel dynamically at runtime. Because it is backed by OpenCL Aparapi is compatible with all OpenCL compatible Graphics Cards.
+Aparapi allows developers to write native Java code capable of being executed directly on a graphics card GPU by converting Java byte code to an OpenCL kernel dynamically at runtime. Because it is backed by OpenCL Aparapi is compatible with all OpenCL compatible Graphics Cards.
 
 A GPU has a unique architecture that causes them to behave differently than a CPU. One of the most noticeable differences is that while a typical CPU has less than a dozen cores a high end GPU may have hundreds of cores. This makes them uniquely suited for data-parallel computation that can result in speedups hundreds of times more than what is capable with your average CPU. This can mean the difference between needing a whole data center to house your application versus just one or two computers, potentially saving millions in server costs.
 
-- 
GitLab