Member since 2017
Accelerated Computing: Libraries C/C++
Earned Jul 12, 2017 PDT
Accelerated Computing: CUDA C/C++
Earned Jul 10, 2017 PDT
Fundamentals of Accelerated Computing with CUDA C/C++
Earned Jul 10, 2017 PDT
Learn how to program GPUs with Libraries in C/C++. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More
Learn how to program GPUs with CUDA C/C++. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More
Accelerate your C/C++ applications on the massively parallel NVIDIA GPUs using CUDA. This course is for anyone with some C/C++ experience who’s interested in accelerating the performance of their applications beyond the limits of CPU-only programming. In this course, you’ll learn how to: • Extend your C/C++ code with the CUDA programming model • Write and launch kernels that execute with massive parallelism on an NVIDIA GPU • Profile and optimize your accelerated programs Upon completion, you’ll be able to write massively parallel heterogeneous programs on powerful NVIDIA GPUs, and optimize their performance by utilizing NVVP.