Commit 182cfef5 authored by Jeffrey Phillips Freeman's avatar Jeffrey Phillips Freeman 💥

Fixed minor typo in readme.

parent 3b9558d8
......@@ -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.
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