![]() My GPU-accelerated LIBSVM is running smoothly but i do not see any speed-up.Please update the VS2010 redistributables to the PC you are running your executable and install all the latest patches for visual studio. ![]() 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.Make sure that the correct path and filenames are given. CUDA libraries have different names for x32 / 圆4. Please go to the project properties and check the library settings. Building the project, I get linker error messages.If you are working on 32 bits, you might need the 圆4 compiler for Visual Studio 2010 to build the project. The project has been built in both 32/64 bit mode. Visual Studio will not let me build the provided project.Everybody is welcome to make the port and we can host the ported software. We are interested in porting our imlementation in Matlab but due to our workload, it is not in our immediate plans. Is there a GPU-accelerated LIBSVM version for Matlab?.IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES LOSS OF USE, DATA, OR PROFITS OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. 12th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2011), Delft, The Netherlands, April 2011. Kompatsiaris, "GPU Acceleration for Support Vector Machines", Proc. Please take into consideration input data size limitations that can occur from the memoryĬapacity of the graphics card that is used.Ī first document describing some of the work related to the GPU-Accelerated LIBSVM is the following please cite it if you find this implementation useful in your work:Ī. This gain is increasing dramatically with the size of the dataset. GPU-accelerated LIBSVM gives a performance gain depending on the size of input data set.
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