initial adaption of README.md and LICENSE.

LICENSE

@@ -175,18 +175,7 @@
 
    END OF TERMS AND CONDITIONS
 
-   APPENDIX: How to apply the Apache License to your work.
-
-      To apply the Apache License to your work, attach the following
-      boilerplate notice, with the fields enclosed by brackets "{}"
-      replaced with your own identifying information. (Don't include
-      the brackets!)  The text should be enclosed in the appropriate
-      comment syntax for the file format. We also recommend that a
-      file or class name and description of purpose be included on the
-      same "printed page" as the copyright notice for easier
-      identification within third-party archives.
-
-   Copyright {yyyy} {name of copyright owner}
+   Copyright 2016 Matthias Werner
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
@@ -199,3 +188,12 @@
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
    limitations under the License.
+
+=======================================================================
+
+ gearshifft is a simple and easy extensible benchmark suite for
+ heterogenuous FFT implementations like cuFFT or clFFT. It includes
+ runtime and memory allocation statistics, which are written to csv
+ files.
+
+=======================================================================
\ No newline at end of file

README.md

 # gearshifft
 Benchmark Suite for Heterogenuous FFT Implementations
+
+This is a simple and easy extensible benchmark system to answer the question, which FFT library performs best under which conditions.
+Conditions are given by compute architecture, inplace or outplace as well as real or complex transforms, data precision, and so on.
+This project is in development, but benchmarks are already possible for cuFFT and clFFT.
+
+Timer and allocation statistics of a benchmark are stored into a csv file.
+
+## Requirements
+- cmake 2.8+
+- C++14 capable compiler
+- CUDA FFT library cuFFT or clFFT for OpenCL
+- FFTW
+
+## Tested on ...
+- gcc 5.3.0
+- CUDA 7.5.18
+- cuFFT from CUDA 7.5.18
+- clFFT 2.12.0 (against FFTW 3.3.4)
+- OpenCL 1.2-4.4.0.117 (Nvidia)
+- Nvidia Kepler K80 GPU and Kepler K20X GPU
+
+## Roadmap
+- [x] cuFFT
+- [ ] clFFT: emulation of arbitrary transform sizes / non-supported radices
+- [ ] liFFT: include library independent FFT framework
+- [ ] scripts for creating benchmark summary of the individual results
+- [ ] callbacks to benchmark a typical FFT use case