• Home
  • Archive
  • Tools
  • Contact Us

The Customize Windows

Technology Journal

  • Cloud Computing
  • Computer
  • Digital Photography
  • Windows 7
  • Archive
  • Cloud Computing
  • Virtualization
  • Computer and Internet
  • Digital Photography
  • Android
  • Sysadmin
  • Electronics
  • Big Data
  • Virtualization
  • Downloads
  • Web Development
  • Apple
  • Android
Advertisement
You are here: Home » Nvidia CUDA Tool Installation Guide For Parallel Computing : MacOS X

By Abhishek Ghosh July 2, 2017 5:16 pm Updated on July 2, 2017

Nvidia CUDA Tool Installation Guide For Parallel Computing : MacOS X

Advertisement

Nvidia CUDA is a parallel computing platform using Nvidia graphics card hardware which allows the developers and security related humans to use a CUDA-enabled graphics processing unit (GPU) for general purpose processing which is called GPGPU (General Purpose computing on Graphics Processing Units). CUDA platform is a software layer to give access to the GPU’s virtual instruction set and parallel computational elements. CUDA is designed to work with C, C++, C#, Fortran, Java, Python etc. Usually the intelligent humans use CUDA for testing security of own and others servers. Officially CUDA has usage for Bioinformatics, Computational Chemistry, Computational Finance, Computational Fluid Dynamics, Computational Structural Mechanics, Data Science, Defense, Electronic Design Automation, Imaging & Computer Vision, Machine Learning, Medical Imaging, Numerical Analytics and so on. Here is a detailed Nvidia CUDA tool installation guide for parallel computing for MacOS X. It is difficult to install all the stuffs & make it working.

Nvidia CUDA Tool Installation Guide For Parallel Computing - MacOS X

Probably you heard about tensorflow. After installing these packages, you can use tat software package.

Kindly invest some time to prepare, install and configure your system. You need some modern internet connection as total size of download will go over 2 GB. Here is an old official PDF which has minimal importance for bash configuration :

Advertisement

---

Vim
1
http://developer.download.nvidia.com/compute/cuda/7.5/Prod/docs/sidebar/CUDA_Installation_Guide_Mac.pdf

Here is Nvidia CUDA official installation guide for MacOS x :

Vim
1
http://docs.nvidia.com/cuda/cuda-installation-guide-mac-os-x/index.html

 

Nvidia CUDA Tool Installation Guide For Parallel Computing : MacOS X

 

First you need to check whether your Mac has graphics card supporting Nvidia CUDA and get details of which version of CUDA will be supported. Click on the Apple icon > Click “About this Mac” > Click “System Report” > Click “Graphics/Display” > Click “Nvidia…” > Copy the Nvidia graphics card model number. For Mid 2012 MacBook Pro 15″, it is NVIDIA GeForce GT 650M. And total details is :

Vim
1
2
3
4
5
6
7
8
9
10
11
12
  Chipset Model: NVIDIA GeForce GT 650M
  Type: GPU
  Bus: PCIe
  PCIe Lane Width: x8
  VRAM (Total): 512 MB
  Vendor: NVIDIA (0x10de)
  Device ID: 0x0fd5
  Revision ID: 0x00a2
  ROM Revision: 3682
  Automatic Graphics Switching: Supported
  gMux Version: 1.9.23
  Metal: Supported

Now, perform a Google search with key phrase with that model with CUDA like “NVIDIA GeForce GT 650M CUDA” in our example and land to Nvidia’s official webpage against that model, in our example it is :

Vim
1
http://www.geforce.com/hardware/notebook-gpus/geforce-gt-650m

If you fail in the above way, go to this webpage :

Vim
1
https://developer.nvidia.com/cuda-gpus

Click “GeForce Notebook Products”, a list will appear (the webpage’s exact words to click changes with their launch of new products). That same webpage will appear.

You can browse the other tabs to get more info. On Wikipedia’s this list :

Vim
1
https://en.wikipedia.org/wiki/CUDA#GPUs_supported

NVIDIA GeForce GT 650M supports CUDA 3.0, on the same webpage of Wikipedia, you will get version features and specifications. CUDA 3.0 is not outdated and proves that 5 years old MacBook Pro is not really old. Now download and install Xcode from the App Store to latest :

Vim
1
https://developer.apple.com/xcode/downloads/

After installing latest Xcode, open Terminal or iTerm and install the developer tools :

Vim
1
xcode-select --install

Restart your Mac. Now go to :

Vim
1
https://developer.nvidia.com/cuda-downloads

There will be big box with writings like “Select your platform below to download the toolkit. Select Target Platform. Click on the green buttons that describe your target platform. Only supported platforms will be shown.”

You know how to select. That size of download is 1.4 GB. You’ll see links under “Get Started”. If you get in to trouble, use them. Install it and follow what is written from point 3.2 :

Vim
1
http://docs.nvidia.com/cuda/cuda-installation-guide-mac-os-x/index.html

Thats it. You could install by :

Vim
1
brew cask install cuda

But we have reasons to avoid that easy way.

Tagged With the macOS installation couldnt be completed

This Article Has Been Shared 302 Times!

Facebook Twitter Pinterest

Abhishek Ghosh

About Abhishek Ghosh

Abhishek Ghosh is a Businessman, Surgeon, Author and Blogger. You can keep touch with him on Twitter - @AbhishekCTRL.

Here’s what we’ve got for you which might like :

Articles Related to Nvidia CUDA Tool Installation Guide For Parallel Computing : MacOS X

  • Fix Write Failed Broken Pipe (packet_write_wait: Connection to port 22: Broken pipe)

    Readers Report Us Of packet_write_wait: Connection to port 22: Broken pipe. Here Is How To Fix Write Failed Broken Pipe On Mac, GNU/Linux.

  • MagSafe Power Adapter Details

    MagSafe Power Adapter is the name of the power connector for current notebook of the brand Apple namely MacBook Pro.Here is the technical and practical aspects.

  • Play Games in Terminal in Mac : Old Good GNU emacs Games

    Play Games in Terminal the old good GNU emacs games in Mac OS X using some commands. Many games comes by default in Lion or higher like Tetris.You can add more.

  • Thunderbolt Expansion Chassis : Basic Details

    Thunderbolt Expansion Chassis lets you to use your PCIe-based devices connected with Thunderbolt-equipped Mac computer or non Apple Thumderbolt port PCs.

  • Work With root Username on OS X Terminal/iTerm2

    If you want to use OS X in a kind of Linux or BSD way, there is way to become the root user. This guide is intended for the advanced users.

Additionally, performing a search on this website can help you. Also, we have YouTube Videos.

Take The Conversation Further ...

We'd love to know your thoughts on this article.
Meet the Author over on Twitter to join the conversation right now!

If you want to Advertise on our Article or want a Sponsored Article, you are invited to Contact us.

Contact Us

Subscribe To Our Free Newsletter

Get new posts by email:

Please Confirm the Subscription When Approval Email Will Arrive in Your Email Inbox as Second Step.

Search this website…

 

Popular Articles

Our Homepage is best place to find popular articles!

Here Are Some Good to Read Articles :

  • Cloud Computing Service Models
  • What is Cloud Computing?
  • Cloud Computing and Social Networks in Mobile Space
  • ARM Processor Architecture
  • What Camera Mode to Choose
  • Indispensable MySQL queries for custom fields in WordPress
  • Windows 7 Speech Recognition Scripting Related Tutorials

Social Networks

  • Pinterest (24.3K Followers)
  • Twitter (5.8k Followers)
  • Facebook (5.7k Followers)
  • LinkedIn (3.7k Followers)
  • YouTube (1.3k Followers)
  • GitHub (Repository)
  • GitHub (Gists)
Looking to publish sponsored article on our website?

Contact us

Recent Posts

  • What Online Casinos Have No Deposit Bonus in Australia March 30, 2023
  • Four Foolproof Tips To Never Run Out Of Blog Ideas For Your Website March 28, 2023
  • The Interactive Entertainment Serving as a Tech Proving Ground March 28, 2023
  • Is it Good to Run Apache Web server and MySQL Database on Separate Cloud Servers? March 27, 2023
  • Advantages of Cloud Server Over Dedicated Server for Hosting WordPress March 26, 2023

About This Article

Cite this article as: Abhishek Ghosh, "Nvidia CUDA Tool Installation Guide For Parallel Computing : MacOS X," in The Customize Windows, July 2, 2017, March 31, 2023, https://thecustomizewindows.com/2017/07/nvidia-cuda-tool-installation-guide-for-parallel-computing-macos-x/.

Source:The Customize Windows, JiMA.in

PC users can consult Corrine Chorney for Security.

Want to know more about us? Read Notability and Mentions & Our Setup.

Copyright © 2023 - The Customize Windows | dESIGNed by The Customize Windows

Copyright  · Privacy Policy  · Advertising Policy  · Terms of Service  · Refund Policy

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Do not sell my personal information.
Cookie SettingsAccept
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT