Web从 NVIDIA CUDA C Programming Guide:. Register usage can be controlled using the maxrregcount compiler option or launch bounds as described in Launch Bounds.. 根据我的理解(如果我错了,请纠正我),虽然 -maxrregcount 限制了整个 .cu 文件可以使用的寄存器数量,但 __launch_bounds__ 限定符定义了每个 maxThreadsPerBlock 和 … Web11 mrt. 2013 · Considering that my CUDA device (GTX 460, comute capability 2.1) supports 32,768 registers per SM, my mathematical skills tell me, that two blocks of 672 threads result in at most 32,768 / 1344 = 24 registers per thread. Compiling my kernels via __global__ void __launch_bounds__ (672, 2) moduleB3 (...) results in
CUDA编程入门之Launch Bounds - 知乎
Web一种做法是编译的时候, 对每个具体的.cu的CUDA源代码文件, 使用nvcc -maxrregcount=N的参数来编译。这种做法将会把此文件中的所有的kernel, 都统一限定成最多使用N个寄存器。 注意这里有需要注意的地方, 首先是这种限制是以源代码文件为单位生效的, 如果你文件中存在不止一个kernel, 则所有的kernel的限制都是一样的, 你有的时候可能不得不拆分源代码 … elena rebekah fanfiction
gpu - How to Fix "RuntimeError: CUDA error: device-side assert ...
Web27 jun. 2011 · The CUDA compiler decides on the number of registers to use for a kernel based on its complexity. Such a compiled kernel is flexible enough to be launched with any number of threads or blocks. However, if an approximate idea of the number of threads and blocks is known at compile-time, then this can be used to optimize the kernel for such … WebTo prevent the compiler from allocating too many registers, use the -maxrregcount=N compiler command-line option (see nvcc) or the launch bounds kernel definition qualifier (see Execution Configuration of the CUDA C++ Programming Guide) to control the maximum number of registers to allocated per thread. 9.3. Allocation WebWe'll consider the following demo, a simple calculation on the CPU. N = 2 ^ 20 x = fill ( 1.0f0, N) # a vector filled with 1.0 (Float32) y = fill ( 2.0f0, N) # a vector filled with 2.0 y .+= x # increment each element of y with the corresponding element of x. From the Test Passed line we know everything is in order. foot circumference measurement