X-Git-Url: https://git.codelabs.ch/?p=cuda-ada.git;a=blobdiff_plain;f=README;h=a60a001d71b810775ff64fcd434f496f79cc984f;hp=341ffb4983522012df89a95363e3e5455fe77abd;hb=b453e9350dcd44dffe82675cd01886a8c1849179;hpb=a67f91fedf0a9ad89c3716953d38b50ff3a90cc9

diff --git a/README b/README
index 341ffb4..a60a001 100644
--- a/README
+++ b/README
@@ -3,15 +3,15 @@ CUDA/Ada
 
 CUDA/Ada is an Ada binding to NVIDIA's CUDA parallel computing platform and
 programming model. This project was developed during the course of the master
-seminar "Progam Analysis and Transformation" at the University of Applied
+seminar "Program Analysis and Transformation" at the University of Applied
 Sciences Rapperswil.
 
 
 Licence
 -------
 --------------------------------------------------------------------------------
-Copyright (C) 2011 Reto Buerki <reet@codelabs.ch>
-Copyright (C) 2011 Adrian-Ken Rueegsegger <ken@codelabs.ch>
+Copyright (C) 2011, 2012 Reto Buerki <reet@codelabs.ch>
+Copyright (C) 2011, 2012 Adrian-Ken Rueegsegger <ken@codelabs.ch>
 University of Applied Sciences Rapperswil
 
 This program is free software: you can redistribute it and/or modify it under
@@ -29,6 +29,26 @@ http://www.codelabs.ch/cuda-ada/cuda-ada-article.pdf.
 
 Download
 --------
+
+Release version
+~~~~~~~~~~~~~~~
+The current release version of CUDA/Ada is available at
+http://www.codelabs.ch/download.
+
+Verify a Release
+~~~~~~~~~~~~~~~~
+To verify the integrity and authenticity of the distribution tarball, import
+the key http://www.codelabs.ch/keys/0x3DC359DEpub.asc and type the following
+command:
+
+  $ gpg --verify libcudaada-{version}.tar.bz2.sig
+
+The key fingerprint of the public key ('0x3DC359DE') is:
+
+  Key fingerprint = 752C 4EBC 115D 5EAD 75F7  0F34 A0AE 8AD7 3DC3 59DE
+
+Development version
+~~~~~~~~~~~~~~~~~~~
 The current development version of CUDA/Ada is available through its git
 repository:
 
@@ -55,6 +75,9 @@ installed:
 * NVIDIA Developer Drivers for Linux:
   http://developer.nvidia.com/cuda-downloads
 
+* Template parser module from AWS project:
+  http://libre.adacore.com/libre/tools/aws/
+
 
 Testing
 -------
@@ -72,7 +95,7 @@ CUDA/Ada provides benchmarking code that measures matrix addition and
 multiplication in Ada, CUDA/Ada and native CUDA C. The benchmarks can be run by
 issuing the following command:
 
-  $ make perf COUNT=10
+  $ make perf COUNT=20
 
-This will print the cumulated execution times of ten successive matrix
-operations for the three different implementations.
+This will print the cumulated execution times of twenty successive matrix
+operations for the different implementations.