CodeGuppy vs. JavaScript vs. CUDA vs. Nim Comparison Chart

Welcome to CodeGuppy, a p5.js-enhanced JavaScript coding platform for middle and high-school students; used by schools around the world. Learn about pixels, resolution, and coordinates, important computer science concepts widely used in CodeGuppy. Expressions and variables are the core of any programming language. Learn about these JavaScript concepts using a fun lesson. Create new JavaScript 'instructions' and achieve code modularization through the use of functions. In this lesson, you'll recap variables, expressions, and functions and learn about the concept of strings. Draw colored lines, circles, and other shapes with the awesome artist program. Learn how to recreate this game that will offer you hours of entertainment. Visualize what happens in computer memory during a common sort operation. Learn how to how to create your own custom clone of this game. Create amazing drawings and texts using colored line art.

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.