Mojo vs. CUDA vs. Python vs. kWS Comparison Chart

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.

kWS is a lightweight and fast Web Server especially designed for Android mobile devices. It can be used to host websites and to serve files over HTTP. kWS implements HTTP-1.0. Basic & digest authentication for secure access. Server side includes (SSI). Directory index, directory downloads in tar, tgz & zip formats. Resumable file downloads, built-in Dynamic DNS updates, up to 20 parallel connections, comprehensive HTTP logs. HTTPS/TLS support with BKS & PKCS12 keystores. Password-based file encryption (128 bit AES & Triple DES). GZip file compression, directory index in JSON & XML formats and index sorting, highly configurable with support for up to 999 per-port parallel connections. Directory level configuration, support for more Dynamic DNS providers like ZoneEdit etc. kWS also provides auto start on boot.