From 182cfef5fb6488a36b60778778bba1b1bab92a85 Mon Sep 17 00:00:00 2001
From: Jeffrey Phillips Freeman <jeffrey.freeman@syncleus.com>
Date: Fri, 2 Dec 2016 17:13:38 -0500
Subject: [PATCH] Fixed minor typo in readme.

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a5d14c14..c69d73bd 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@ 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