![]() ![]() Support heterogeneous computation where applications use both the CPU and GPU. With CUDA C/C++, programmers can focus on the task of parallelization of the algorithms rather than spending time on their implementation. Provide a small set of extensions to standard programming languages, like C, that enable a straightforward implementation of parallel algorithms. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).ĬUDA was developed with several design goals in mind: Introduction ĬUDA ® is a parallel computing platform and programming model invented by NVIDIA ®. The SHA-1 hashes for the files (if you wish to check them after downloading) is as follows :į2dc8b69cb888a021bc7a7ef8cd585712688723f QuickHash-GUI-Windows-v3.3.2.The installation instructions for the CUDA Toolkit on Linux. ![]() If you are a developer you can follow the source code commits over on the Github page Report bugs HERE. Write a testimonial HERE, if you'd like to share your experiences in our testimonials section. Please do consider donatingif QuickHash-GUI is useful to you. But on a 32-bit Windows machine, only the 32-bit edition will work. The user can run both the 32 and 64 bit executables on a single Windows 64 machine, even at the same time. ![]() On most Windows systems, if the user extracts the whole zip file (including the "libs" folder) to a new folder or their desktop, it should just run. ![]() The download includes both a 64-bit and 32-bit edition of the software with accompanying DLL's and user manual (in English - a French version for v3.3.1 is currently available too for French speaking users, HERE). This download is for the Windows version of Quickhash-GUI. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |