I’m experiencing behavior with the fft() function that is causing me to have to restart Matlab between executions of a long script that is both processing and memory intensive and requires, among other things, millions of fft’s on the CPU and GPU. If I run bench() prior to running the script, my computer (i9-13950HX w/64GB of ram, running Windows 11, Matlab R2024a) clocks in very fast. After I run my script, all performance metrics are basically identical except for fft() which clocks >10x slower than before.
No matter what I do to the workspace (clear all, clear classes, clear functions, close all hidden force, clc, reset(gpuDevice), etc.), or the fft planner I cannot bring the performance of fft() back to what it was before execution of the script.
Am I overlooking anything that could reset the performance of the fft short of restarting Matlab itself? I would like to let the computer loop over a bunch of datasets but right now the slowdown in the fft is making this very inefficient. I am currently considering calling the Matlab engine from Python so that I can restart it between script calls to prevent this. I am running Matlab on 2024a and may be able to update to 2024b but cannot upgrade past 2024b.I’m experiencing behavior with the fft() function that is causing me to have to restart Matlab between executions of a long script that is both processing and memory intensive and requires, among other things, millions of fft’s on the CPU and GPU. If I run bench() prior to running the script, my computer (i9-13950HX w/64GB of ram, running Windows 11, Matlab R2024a) clocks in very fast. After I run my script, all performance metrics are basically identical except for fft() which clocks >10x slower than before.
No matter what I do to the workspace (clear all, clear classes, clear functions, close all hidden force, clc, reset(gpuDevice), etc.), or the fft planner I cannot bring the performance of fft() back to what it was before execution of the script.
Am I overlooking anything that could reset the performance of the fft short of restarting Matlab itself? I would like to let the computer loop over a bunch of datasets but right now the slowdown in the fft is making this very inefficient. I am currently considering calling the Matlab engine from Python so that I can restart it between script calls to prevent this. I am running Matlab on 2024a and may be able to update to 2024b but cannot upgrade past 2024b. I’m experiencing behavior with the fft() function that is causing me to have to restart Matlab between executions of a long script that is both processing and memory intensive and requires, among other things, millions of fft’s on the CPU and GPU. If I run bench() prior to running the script, my computer (i9-13950HX w/64GB of ram, running Windows 11, Matlab R2024a) clocks in very fast. After I run my script, all performance metrics are basically identical except for fft() which clocks >10x slower than before.
No matter what I do to the workspace (clear all, clear classes, clear functions, close all hidden force, clc, reset(gpuDevice), etc.), or the fft planner I cannot bring the performance of fft() back to what it was before execution of the script.
Am I overlooking anything that could reset the performance of the fft short of restarting Matlab itself? I would like to let the computer loop over a bunch of datasets but right now the slowdown in the fft is making this very inefficient. I am currently considering calling the Matlab engine from Python so that I can restart it between script calls to prevent this. I am running Matlab on 2024a and may be able to update to 2024b but cannot upgrade past 2024b. fft MATLAB Answers — New Questions
