PERL,INGRES,PROGRAMMING

  NVIDIA adds native support to CUDA for Python, making it more accessible to developers at large. CUDA is, of course, NVIDIA's toolkit and programming model which provides a development environment for speeding up computing applications by harnessing the power of GPUs. It's not easy to conquer since it requires the code to be written code in C++ and as C++ by default is not user-friendly and difficult to master, these properties subsequently rub off on the toolkit itself. https://www.i-programmer.info/news/80-java/18040-nvidia-cuda-dive-using-python.html

  Find out everything there's to know about GPUs. This Cornell Virtual Workshop will be helpful for those who program in CUDA. https://www.i-programmer.info/news/144-graphics-and-games/17961-understanding-gpu-architecture-with-cornell.html

  LeetGPU is a platform where you can write and test CUDA code. Now it adds Challenges to foster competition, asking you to put your GPU programming skills to the test by writing the fastest programs. https://www.i-programmer.info/news/204-challenges/17945-leetgpu-the-cuda-challenges.html

  CUDA is of course NVIDIA's toolkit and programming model which provides a development environment for speeding up computing applications by harnessing the power of GPUs. It's not easy to conquer, but here's a few resources to help. https://www.i-programmer.info/news/144-graphics-and-games/17842-three-nvidia-cuda-programming-super-resources-.html