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https://stackoverflow.com/questions/3644809/does-cuda-support-recursion
Yes, see the NVIDIA CUDA Programming Guide : device functions only support recursion in device code compiled for devices of compute capability 2.0. You need a Fermi card to use them. share …
https://stackoverflow.com/a/8959126
That is right. This feature was added to CUDA C in toolkit 3.1. The latest version of CUDA programming guide implicitly indicates that recursive device function is supported. However __global__ functions do not support recursion. Please refer to F.3.9.6. Function Recursion in programming guide. – palebluedot Dec 19 '18 at 5:28
https://devtalk.nvidia.com/default/topic/817578/does-cuda-support-recursion-/?offset=1
Mar 10, 2015 · My Env: CUDA 6.5 with Tesla K20cU I have a small __device__ recursion function, which is running fine when built in "Release". But when run with "Debug", CUDA will complain "an illegal instruction was encountered" NSight debug points me to this recursion and saying "CUDA …
https://www.howtobuildsoftware.com/index.php/how-do/bysr/recursion-cuda-dynamic-parallelism-cuda-recursion-depth
cuda There are various atomic functions which support atomic operations on unsigned long long int (ie. a 64-bit unsigned integer), such as atomicCAS, atomicExch and atomicAdd. And if you have a cc3.5 or higher GPU you have even more options. Referring to the documentation on clock64(): long long int clock64(); when...
https://www.quora.com/How-do-super-recursive-algorithms-perform-on-CUDA
In general, not particularly well. GPUs perform well when lots of parallelism is expressed in the algorithm. For example, to traverse a graph Breadth-First Search is much preferred to Depth-First Search because the stages of a Breadth-First search...
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http://hhoppe.com/recursive.pdf
GPU-Efficient Recursive Filtering and Summed-Area Tables Diego Nehab1 André Maximo1 Rodolfo S. Lima2 Hugues Hoppe3 1IMPA 2Digitok 3Microsoft Research Abstract Image processing operations like blurring, inverse convolution, and summed-area tables are often computed efficiently as a sequence of 1D recursive filters.
https://www.thanassis.space/cudarenderer-BVH.html
CUDA recursion via C++ templates So far, I was using a stack-based recursion for traversing the BVH, but I was NOT using anything similar for the raytracer itself. ... CUDA 1.2 cards like my GT240 have no support for recursion, so I used C++ template magic to implement compile-time recursion - see cudarenderer.cu in the source tarball for details.
https://queue.acm.org/detail.cfm?id=1365500
CUDA supports thread blocks containing up to 512 threads. For convenience, thread blocks and grids may have one, two, or three dimensions, accessed via.x,.y, and.z index fields.
https://devblogs.nvidia.com/cuda-dynamic-parallelism-api-principles/
May 20, 2014 · This post is the second in a series on CUDA Dynamic Parallelism. In my first post, I introduced Dynamic Parallelism by using it to compute images of the Mandelbrot set using recursive subdivision, resulting in large increases in performance and efficiency.This post is an in-depth tutorial on the ins and outs of programming with Dynamic Parallelism, including synchronization, streams, …
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