# Version 1.2

Code & binaries updated with libsvm version 3.17 & CUDA SDK version 5.5

Details:
Exchanged the header file “cublas.h” for “cublas_v2.h”.

Exchanged the type cublasStatus for cublasStatus_t.

Exchanged the function cublasAlloc() and cublasFree() for cudaMalloc() and cudaFree(), respectively.

Declared the cublasHandle_t CUBLAS library handle.

Initialized the handle using cublasCreate(). Also, released the handle once finished using cublasDestroy().

Added the handle as the first parameter to all the CUBLAS library function calls.

Changed the scalar parameters to be passed by reference, instead of by value (usually simply adding “&” symbol in C/C++ is enough, because the parameters are passed by reference on the host by default).

Changed the parameter characters 'N' or 'n' (non-transpose operation), to CUBLAS_OP_N.

Checked the function prototypes in the header files “cublas.h” and “cublas_v2.h” for code correctness.

README.md

@@ -6,6 +6,14 @@ GPU-accelerated LIBSVM is a modification of the [original LIBSVM](http://www.csi
 
 Watch a [short video](http://www.youtube.com/watch?v=Fl99tQQd55U) on the capabilities of the GPU-accelerated LIBSVM package
 
+###CHANGELOG
+
+V1.2 
+
+	Updated to LIBSVM version 3.17
+	Updated to CUDA SDK v5.5
+	Using CUBLAS_V2 which is compatible with the CUDA SDK v4.0 and up.
+
 ###FEATURES
 
 Mode Supported
@@ -21,7 +29,7 @@ Functionality / User interface
     LIBSVM prerequisites
     NVIDIA Graphics card with CUDA support
     Latest NVIDIA drivers for GPU
-
+	
 ###PERFORMANCE COMPARISON
 
 To showcase the performance gain using the GPU-accelerated LIBSVM we present an example run.
@@ -71,7 +79,7 @@ We are interested in porting our imlementation in Matlab but due to our workload
 
 * Visual Studio will not let me build the provided project.
 
-The project has been built in both 32/64 bit mode. If you are working on 32 bits, you might need the x64 compiler for Visual Studio 2008 to build the project.
+The project has been built in both 32/64 bit mode. If you are working on 32 bits, you might need the x64 compiler for Visual Studio 2010 to build the project.
 
 * Building the project, I get linker error messages.
 
@@ -80,7 +88,7 @@ Please go to the project properties and check the library settings. CUDA librari
 * I have built the project but the executables will not run (The application has failed to start because its side-by-side configuration is in
 correct.)
 
-Please update the VS2008 redistributables to the PC you are running your executable and install all the latest patches for visual studio.
+Please update the VS2010 redistributables to the PC you are running your executable and install all the latest patches for visual studio.
 
 * My GPU-accelerated LIBSVM is running smoothly but i do not see any speed-up.