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How MATLAB makes the distinction between P-Cores and E-Cores?

  It is known that modern CPUs have both Performance cores (P-cores) and efficiency cores (E-cores), different types of CPU cores that have different purposes and are designed for different tasks. P-cores typically have higher clock speeds and designed for high-performance tasks, while E-cores operate at lower clock speeds and focus on energy-efficient processing. In MATLAB, maxNumCompThreads returns the current maximum number of computational threads. Currently, the maximum number of computational threads is equal to the number of physical cores on your machine. How MATLAB makes the distinction between P-Cores and E-Cores ? NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects...

How can I get rid of the large invisible border of my MATLAB figure without cropping it?

 Hey I have a question that would be super helpful to have an answer to. I am generating many MATLAB images. However, each image, when I copy figure to PPT, seems to have a large invisible box around it, which you can see when you click on the image. I know you can easily crop this out, but I don't want to crop many many images, and have to worry if the cropping is the same size. I want to copy these images into a Word document, and all the extra white space is not favorable. Is there a way to get that invisible box to just "hug" the image, instead of extending out several inches?

  NOTE:-


Matlabsolutions.com provide latest MatLab Homework Help,MatLab Assignment Help , Finance Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research.


Try This:

 

clc; clear all ;
x = rand(20,1) ;
y = rand(20,1) ;
plot(x,y)
set(gca,'LooseInset',get(gca,'TightInset'));
saveas(gcf,'junk.jpg')

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