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Questions - gpu

Julia CUDA - Saving intermediate kernel results without CPU

Consider the following CUDA kernel, which computes the mean of each row of a 2-D matrix. using CUDA function mean!(x, n, out) """out = sum(x, dims=2)""" row_idx ...
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A is for Ambition

cuda

julia

gpu

Votes: 0

Answers: 1

Latest Answer

You can generate arrays or vectors of zeros directly on GPU! Try: CUDA.zeros(Float64, nrow) Some benchmarks: julia> @btime CUDA.zeros(Float64, 1000,1000) 12.600 μs (26 allocations: 1.22 KiB) 100...
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Przemyslaw Szufel

Capture windows behind my window using GPU and without changing window affinity

I want to capture all windows except my own window and I need this to be as fast as possible (in terms of FPS). Now, there are couple of similar questions already asked and answered, but none of them ...
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n0p

c++

windows

image-processing

gpu

direct3d

Votes: 0

Answers: 0

TensorFlow Keras can't handle numpy array larger than gpu memory

I'm trying to handle a sample matrix with a weight of more than 25GB. The problem I got a GPU with only 12GB memory. I thought that tenorflow will take small batches of the matrix from the ram to gRam...
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material bug

python

numpy

tensorflow

keras

gpu

Votes: 0

Answers: 0

GPU availability check

I am trying to test that my Jupyter notebook is using the GPU or not but when I check with this code, It shows me '0' GPU's available. But, My system is i7 10th Generation and GEFORCE RTX 2060. I have...
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hemanth vema

python

tensorflow

jupyter-notebook

anaconda

gpu

Votes: 0

Answers: 1

Latest Answer

try use gputil: import GPUtil GPUtil.showUtilization() try also look here - How to get current available GPUs in tensorflow?
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Tal Folkman

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