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Accelerating MATLAB Image Processing Toolbox Functions on GPUs Jingfei Kong, Martin Dimitrov, Yi Yang#, Janaka Liyanage Lin Cao, Jacob Staples, Mike Mantor*, Huiyang Zhou## School of Computer Science Dept.

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To perform a supported image processing operation on a GPU, follow these steps: Move the data from the CPU to the GPU. Use the gpuArray (Parallel Computing Toolbox) function to transfer an array from MATLAB® to the GPU. ... Perform the image processing operation on the GPU. ... Move the data back onto the CPU from the GPU.

Run MATLAB using GPUs in the Cloud Start MATLAB on Amazon Web Services (AWS) Using Cloud Center. Start and Test MATLAB Parallel Server Cluster in Cloud Center.

Use MATLAB Functions with the GPU Create a row vector that repeats values from -15 to 15. To transfer it to the GPU and create a gpuArray object, use the gpuArray function. To operate with gpuArray objects, use any gpuArray -enabled MATLAB function. MATLAB automatically runs calculations on the GPU.

To speed up your code, you can try using your computer's GPU. If all the functions that you want to use are supported on the GPU, you can simply use the gpuArray function to transfer input data to the GPU, and call the gather function to retrieve the output data from the GPU.

MATLAB® enables you to use NVIDIA® GPUs to accelerate AI, deep learning, and other computationally intensive analytics without having to be a CUDA® programmer. Using MATLAB and Parallel Computing Toolbox™, you can: Use NVIDIA GPUs directly from MATLAB with over 500 built-in functions.

MATLAB® supports NVIDIA® GPU architectures with compute capability 3.5 to 9.

5) Alternatively, you can navigate to the "APPS" tab in MATLAB and search for the "gpuBench" app. and click on the "gpuBench" App icon. 6) This will execute benchmark tests and generate a detailed report comparing the performance of the GPU available on the computer with other GPU devices in the market.

To train a single network using multiple GPUs on your local machine, you can simply specify the ExecutionEnvironment option as "multi-gpu" without changing the rest of your code. trainNetwork automatically uses your available GPUs for training computations.

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Form Packages
Adoption
Bankruptcy
Contractors
Divorce
Home Sales
Employment
Identity Theft
Incorporation
Landlord Tenant
Living Trust
Name Change
Personal Planning
Small Business
Wills & Estates
Packages A-Z
Form Categories
Affidavits
Bankruptcy
Bill of Sale
Corporate - LLC
Divorce
Employment
Identity Theft
Internet Technology
Landlord Tenant
Living Wills
Name Change
Power of Attorney
Real Estate
Small Estates
Wills
All Forms
Forms A-Z
Form Library
Customer Service
Terms of Service
DMCA Policy
About Us
Blog
Affiliates
Contact Us
Privacy Notice
Delete My Account
Site Map
All Forms
Search all Forms
Industries
Forms in Spanish
Localized Forms
Legal Guides
Real Estate Handbook
All Guides
Prepared for You
Notarize
Incorporation services
Our Customers
For Consumers
For Small Business
For Attorneys
Our Sites
US Legal Forms
USLegal
FormsPass
pdfFiller
signNow
airSlate workflows
DocHub
Instapage
Social Media
Call us now toll free:
1-877-389-0141
As seen in:
  • USA Today logo picture
  • CBC News logo picture
  • LA Times logo picture
  • The Washington Post logo picture
  • AP logo picture
  • Forbes logo picture
© Copyright 1997-2025
airSlate Legal Forms, Inc.
3720 Flowood Dr, Flowood, Mississippi 39232