Monday, October 9, 2017

Raaz Bhuiyan

Introduction to Parallel Programming using GPGPU and CUDA - Udemy course 100% Off

Introduction to Parallel Programming using GPGPU and CUDA - Udemy course

Fundamentals of GPU & CUDA programming, use your knowledge in Machine Learning, Data Mining and Deep Learning

The CUDA platform is designed to work with programming languages such as C, C++, and Fortran. It has wrappers for many other languages including Python, Java and so on. This accessibility makes it easier for specialists in parallel programming to use GPU resources, in contrast to prior APIs like Direct3D and OpenGL, which required advanced skills in graphics programming.

Also, CUDA supports programming frameworks such as OpenACC and OpenCL. CUDA is a freeware, works on Windows, Linux and Mac OSX. This course is intends to explain the basics of CUDA using C/C++ programming language, which you can use your stepping stone to machine learning, deep learning and big data careers.

Udemy course :https://www.udemy.com/introduction-to-parallel-programming-using-gpgpu-and-cuda/


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