mcxcl | Monte Carlo eXtreme for OpenCL | GPU library

With the up-to-date driver installed for your computers, MCXCL can run on almost all computers. The requirements for using this software include. For speed differences between different CPUs/GPUs made by different vendors, please see your above paper [1] and our websites. Generally speaking, AMD and NVIDIA high-end dedicated GPU performs the best, about 20-60x faster than a multi-core CPU; Intel’s integrated GPU is about 3-4 times faster than a multi-core CPU. MCX-CL supports and has been fully tested with open-source OpenCL runtime pocl (http://portablecl.org/) on the CPU. To install pocl, please run. To install MCXCL, you simply download the binary executable corresponding to your computer architecture and platform, extract the package and run the executable under the {mcxcl root}/bin directory. For Linux and MacOS users, please double check and make sure libOpenCL.so is installed under the /usr/lib directory. If it is installed under a different directory, please define environment variable LD_LIBRARY_PATH to include the path. If libOpenCL.so or OpenCL.dll does not exist on your system or, please make sure you have installed CUDA SDK (if you are using an NVIDIA card) or AMD APP SDK (if you are using an AMD card). The below installation steps can be browsed online at.
a CPU, or
a CUDA capable NVIDIA graphics card, or
an AMD graphics card, and
pre-installed graphics driver - typically includes the OpenCL library (libOpenCL.* or OpenCL.dll)
http://mcx.space/computebench/
http://mcx.space/mcxcl
One must install either a MATLAB or GNU Octave if one needs to use mcxlabcl. If you use a Mac or Linux laptop, you need to create a link (if this link does not exist) so that your system can find MATLAB. To do this you start a terminal, and type. please replace /path/to/matlab to the actual matlab command full path (for Mac, this is typically /Application/MATLAB_R20???.app/bin/matlab, for Linux, it is typically /usr/local/MATLAB/R20???/bin/matlab, ??? is the year and release, such as 18a, 17b etc). You need to type your password to create this link. To verify your computer has MATLAB installed, please start a terminal on a Mac or Linux, or type cmd and enter in Windows start menu, in the terminal, type matlab and enter, you should see MATLAB starts.
One can download two separate MCXCL packages (standalone mcxcl binary, and mcxlabcl) or download the integrated MCXStudio package (which contains mcx, mcxcl, mmc, mcxlab, mcxlabcl and mmclab) where both packages, and many more, are included. The latest stable released can be found on the MCX’s website. However, if you want to use the latest (but sometimes containing half-implemented features) software, you can access the nightly-built packages from http://mcx.space/nightly/. If one has downloaded the mcxcl binary package, after extraction, you may open a terminal (on Windows, type cmd the Start menu), cd mcxcl folder and then cd the bin subfolder. Please type "mcxcl" and enter, if the binary is compatible with your OS, you should see the printed help info. The next step is to run. This will query your system and find any hardware that can run mcxcl. If your hardware (CPU and GPU) have proper driver installed, the above command will typically return 1 or more available computing hardware. Then you can move to the next step. If you do not see any processor printed, that means your CPU or GPU does not have OpenCL support (because it is too old or no driver installed). You will need to go to their vendor’s website and download the latest driver. For Intel CPUs older than Ivy Bridge (4xxx), OpenCL and MCXCl are not well supported. Please consider installing dedicated GPU or use a different computer. In the case one has installed the MCXStudio package, you may follow the below procedure to test for hardware compatibility. Please click on the folder matching your operating system (for example, if you run a 64bit Windows, you need to navigate into win64 folder), and download the file named "MCXStudio-nightlybuild-installer.exe". Open this file, and unzip it to a working folder (for Windows, for example, the Documents or Downloads folder). The package needs about 100 MB disk space.