Working with really large arrays in CUDA

I get systemic indexing errors when I try to work with this larger array. I get weird things like negative numbered arrays.

Well, the day before yesterday, i was testing my matrix-matrix multiplication program using 8000x8000 matrices, meaning, i (cuda)allocated ...

Increasing the matrix size to say 1000x1000 (with the for loop calling part of the kernel code 1000 times) leaves the GPU to take as much ...

As for largest size of grid, dim3 dimGrid(65535,65535,1); would work. i.e. 65535*65535 blocks. But dont try it just yet. You have a problem here

Writing large unknown size array in Cuda? 0 · Cuda Memory Functions give "Unkown Error" when sending VERY large arrays ... CUDA: working with ...

I recommend using the dot method, like A.dot(B) . Also, the memory used by matrix multiplication is highly dependent on chunking structure. You ...

To summarise, my 20GB dataset is an array of arrays. The kernels will need to take an element from the array, perform a simple calculation and ...

I am trying to speed up my code using CUDA, which is looking to work brilliantly except for one piece which is still causing slowdown. I can ...

I am testing the largest possible array size that I can declare inside a CUDA kernel. ... works perfectly fine even with a very large array size.

CUDA.jl - Memory Efficient Operations, Manipulations and Calculations on Large Sparse Arrays ... Hello all, I am trying to assemble many ...

I set the values to a 2D array, then, copy to a 1D array in device. I coded a global function named find_max to find the max number in the 1D ...

Hitting error on previously processed data after updating to upstream 3b09ed0 data during filter/resampling operations. CUDA complains about ...

There is something in CUDA where you specify a structure containing the extent of each dimension of a 3-D array, and some functions that deal ...

I can at least do something though. The sum command works, for example, even though the answer isn't very interesting in this case.

Streaming series = Coding AI Art generator using stable diffusion. This is from scratch: using no libraries except for CUDA libraries and ...

I'm very sorry, but I'm kinda of a noob and I just started with CUDA. I worked with simple CPU parallelizations with OMP before and I find this ...

Usually you would create any large arrays outside kernels and pass them in as parameters - this is in keeping with the CUDA programming model in ...

Finding the minimum of very large arrays using GPUs. Note: This post is intended for users with a considerable background in GPU hardware and ...

For the purpose of large-ish temporary arrays, I'd much rather have escape analysis work better on Memory than introduce more unsafeness. If you ...

A bunch of threads that go through the array linearly, then do warp-wide and group-wide (shared) reduction and atomic add to the final sum.