GPU：out of memory

[superskhm]

Expected Behavior

I want to reconstruct an image consisting of 1024 projections, each with a size of 2048 x 3072 TIGRE parameters

Geometry parameters Distance from source to detector (DSD) = 627.2 mm Distance from source to origin (DSO)= 28.0 mm

Detector parameters Number of pixels (nDetector) = [2496 3008] Size of each pixel (dDetector) = [0.1 0.1] mm Total size of the detector (sDetector) = [249.6 300.8] mm

Image parameters Number of voxels (nVoxel) = [800 800 800] Total size of the image (sVoxel) = [3.57142857 3.57142857 3.57142857] mm Size of each voxel (dVoxel) = [0.00446429 0.00446429 0.00446429] mm

Actual Behavior

Centre of rotation correction (COR) = 0 mm (1024, 2496, 3008) ../Common/CUDA/TIGRE_common.cpp (7): Error pinning memory ../Common/CUDA/TIGRE_common.cpp (14): CBCT:CUDA:Atb out of memory

Code to reproduce the problem (If applicable)

proj, geo, angles = load_ZC_projections(file_path, geo, angles) imgfdk=tigre.algorithms.fdk(proj, geo, angles, filter="hann") tigre.plotimg(imgfdk, dim='z')

Specifications

• MATLAB/python version:py 3.12 64bit
• OS:win 64
• CUDA version:11.8

[superskhm]

and NVIDIA GeForce RTX 3080 Laptop GPU 16GB

[AnderBiguri]

How much RAM does the laptop have (not the GPU)? Your projections are 24GB RAM, and the image about 2GB. Do you have enough CPU RAM to store this?

[superskhm]

RAM :32GB.In addition, I have enabled virtual memory, and the size is automatically set by the system

[AnderBiguri]

@superskhm have you compiled TIGRE to allow virtual memory? By default it does not allow it, otherwise it can not use pinned memory.

[superskhm]

@AnderBiguri I compiled TIGRE using the default settings without changing the virtual memory settings of the system. In addition, where can I set up the program to use virtual memory

[AnderBiguri]

https://github.com/CERN/TIGRE/blob/master/Frontispiece/MATLAB_installation.md#advanced