What is a CUDA block?

CUDA kernels are subdivided into blocks. A group of threads is called a CUDA block. CUDA blocks are grouped into a grid. A kernel is executed as a grid of blocks of threads (Figure 2). Each kernel is executed on one device and CUDA supports running multiple kernels on a device at one time.

What is CUDA in programming?

CUDA is a parallel computing platform and programming model developed by Nvidia for general computing on its own GPUs (graphics processing units). CUDA enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.

How many CUDA blocks are there?

65535 blocks
Theoritically you can have 65535 blocks per diamension of the grid, up to 65535 * 65535 * 65535.

What language is CUDA written in?

C
It’s written first in plain “C” and then in “C with CUDA extensions.”

What are GPU warps?

In an NVIDIA GPU, the basic unit of execution is the warp. A warp is a collection of threads, 32 in current implementations, that are executed simultaneously by an SM. The threads of a thread block execute concurrently on one SM, and multiple thread blocks can execute concurrently on one SM.

How many blocks and threads CUDA?

Early CUDA cards, up through compute capability 1.3, had a maximum of 512 threads per block and 65535 blocks in a single 1-dimensional grid (recall we set up a 1-D grid in this code). In later cards, these values increased to 1024 threads per block and 231 – 1 blocks in a grid.

What is a thread in a GPU?

A thread on the GPU is a basic element of the data to be processed. The number of blocks in a grid make it possible to totally abstract that constraint and apply a kernel to a large quantity of threads in a single call, without worrying about fixed resources. The CUDA runtime takes care of breaking it all down for you.