ArtsAutosBooksBusinessEducationEntertainmentFamilyFashionFoodGamesGenderHealthHolidaysHomeHubPagesPersonal FinancePetsPoliticsReligionSportsTechnologyTravel

Compiling Kalroth's cgminer on Ubuntu

Updated on August 18, 2015

Why We're Here

The number of people mining cryptocurrency has exploded since the advent of Bitcoin and its altcoin children (Litecoin, Dogecoin, and the rest) over the last several years. For folks interested in mining with an AMD GPU, one of the most popular pieces of software is cgminer. Unfortunately, the steps to get cgminer built from source and working on a standard Linux distribution can be a little murky at best. This article aims to show you how to do just that, starting with having only a plain vanilla Linux installation and ending up with working instance of cgminer.

While the main branch of cgminer removed support for GPU mining some time back, the project was forked by Martin "Kalroth" Danielsen, and many thanks go out to him for doing a great job of keeping it up to date. It's the kalroth version we'll be working with here.

But first, several caveats apply:

  • I've done my best to provide complete and accurate instructions, but you take full responsibility for running any of these commands and their resulting effects on your mining rig.
  • Assuming you're working with the same version numbers of the software I used, etc., you ought to be able to more or less copy and paste these instructions. I won't claim that the method shown here is the only way to get cgminer running, or even the minimal way. All I claim is that these steps worked for me when other cookbooks on the net I found didn't.
  • You're responsible for understanding the security implications of what you're doing. For example, I issue an "xhost +" at one point, which I find an acceptable risk for my miner. If you're in an environment where you're worried about other folks connecting to your display, that may not be the right answer for you.
  • If you're a Linux newbie or are otherwise daunted by the command line, there are alternatives you may wish to consider: BAMT provides a dedicated Linux mining environment that you can just install and run, and you may wish to think about using Windows as well.

Now that all that's out of the way, on to the good part!

Assumptions and General Information

This article assumes that

  1. You've got working hardware, including a reasonably modern AMD graphics card. (I first did this with a 6850, but I think the instructions will hold for anything in the R9 200, R7 200, HD 7000, HD 6000 and HD 5000 Series families.)
  2. You're starting with pristine install of Ubuntu. I wrote this using the 64-bit desktop version of 12.04.4 LTS. I installed from the DVD image to a USB drive (normal hard drives and SSDs are really overkill for miners), taking all defaults, no proprietary drivers, and not updating anything from network sources during the installation process.
  3. I did try this unsuccessfully with 13.10 as well. My experience with 13.10 has been spotty at best, so my advice is to stick with 12.04.4 for the moment, which is supported into 2017.
  4. You've got network connectivity (so plug in or set up your wifi and make sure you've got an address, can ping or browse outside your network, etc.)
  5. The examples in this article are based on a user named "someuser" and work from that user's home directory. Naturally you'll need to substitute the appropriate user name name software location for your own environment. (For example, if you save things in to ~/Downloads instead, you'll need to adjust accordingly.) Similarly, my examples reference specific version numbers of files... if you've downloaded a file with a different version number, change the names/numbers in the example to match.
  6. The example miner I use in this article runs in a headless configuration with all normal use being via a remote terminal. Some of the steps below (e.g., installing SSH and such) aren't strictly necessary if you're always going to be working on the console.

Finally, from here on out, I give examples of command lines. While I encourage you to read the entire article, my intention is for you to be able to just copy and paste everything that looks like the following code snippet verbatim, leaving you with a functional cgminer at the end of it all. Note that in some cases the lines are quite long, make sure you follow the scroll bars all the way over and grab the whole thing.

This is a sample command to copy and paste... some of the command lines are a bit long, like this example, so make sure you scroll all the way over and capture it all.


Before we really begin in earnest, you'll need to download two pieces of software that will come into play later. I wish I could give you wget links or something like that, but the manufacturers like to shift filenames, change download servers, put things behind license agreements and generally make things hard to get in an automated fashion. So using a browser, go get these two things and stash them in a working directory.You can either do it with the browser on your miner, or on your usual PC and sftp them up to the miner later. (Which is what I did.) But remember, you want these to end up on the mining computer, so don't bother to unpack them on your local PC.

  1. First, the Intel SDK for OpenCL, from The current version at the time I'm writing this is intel_sdk_for_ocl_applications_xe_2013_r3_sdk_3.2.1.16712_x64.tgz. This is the package that will allow cgminer to monitor temperatures, etc.
  2. Second, the AMD Display Library from The current version at the time I'm writing this is We'll need to extract some header files from this archive to use to compile cgminer later.

Away We Go

All right, after reading all the preliminaries, you should be in front of a newly installed Linux box. Log in as the user you created during the install (someuser in my example) and start off my running this this to make sure you've got the latest lists of packages and dependencies:

sudo apt-get update

Once that's done, you'll want to install an ssh server so you can connect remotely. Once this command completes, everything else I show in this article will be from a remote terminal ssh'd into the mining box. If you intend to do everything from the console then you can skip this step.

sudo apt-get install -y openssh-server

Now connect to your box with SSH. Since we want to use this server in a headless fashion and not have to log into the console if it reboots, you'll need to do a couple of things to set the server up to allow you to connect remotely and have things all set up and ready to go.

The AMD drivers are happiest when someone's logged into the server and the window manager is fully engaged, so we'll do that here by just setting the box to log a user in as soon as the boot finishes. To do that, you need to add the following two lines to /etc/lightdm/lightdm.conf using your favorite editor:


You can do it manually or, if you feel like living on the edge, running the following should do the trick:

echo -e "autologin-user=someuser\nautologin-user-timeout=0" | sudo tee -a /etc/lightdm/lightdm.conf

Next, you'll want to make your user account able to log in without requiring a password (so the auto-login you asked for in the earlier step can happen without intervention.) To do that, run this:

sudo usermod -a -G nopasswdlogin someuser

Next, you'll need to add the following to /etc/profile:

export DISPLAY=:0
xhost +

Again, either use your favorite editor or copy and paste the following:

echo -e "export GPU_MAX_ALLOC_PERCENT=100\nexport GPU_USE_SYNC_OBJECTS=1\nexport DISPLAY=:0\nxhost +" | sudo tee -a /etc/profile

Optional: Pick a Specific Driver Version

Next, you'll need to identify what the latest video drivers are that you'll install in the next step. Run the following command and look for the highest driver revision (or whatever driver version you want to run.) At the time I'm writing this, the latest one is fglrx-experimental-13. You can use that one by just copying what I show below, or if not, make a note of the one you choose and replace it with your text.

apt-cache search fglrx

Preparing for Compilation

Now, you need to install the packages that will let you do the actual building. I've also thrown in the "screen" package that will allow you to leave cgminer running and then re-attach to the session if it ever disconnects. This is also the place to specify the video driver you identified in the immediately previous step.

sudo apt-get install -y \
screen \
git \
libncurses5-dev \
libcurl4-openssl-dev \
libudev-dev \
libtool \
automake \
opencl-headers \
debhelper \
dh-modaliases \
execstack \
rpm \
alien \
libnuma1 \

That will run for a run for a while. Assuming no packages failed, it's time to configure the driver, then reboot to start using it:

sudo aticonfig --adapter=all --initial -f
sudo shutdown -r now

After the reboot, log back in. Run the fglrxinfo command:


The output should look something like this:

With all that out of the way, it's time to start building things using the two files you downloaded earlier, plus the cgminer files your're also about to get. As a reminder, these instructions assume they're all in someuser's home directory (which is where, after just logging in above, you should already be.)

First up is the Intel SDK for OpenCL. The distribution package contains RPMs, but since we're using Ubuntu you have to transform them into Debian packages and then install them. The following commands will do just that. There will be some warnings along the lines of "Warning: Skipping conversion of scripts..." that you can ignore.

Note that this step can take a while.

tar -zxvpf intel_sdk_for_ocl_applications_xe_2013_r3_sdk_3.2.1.16712_x64.tgz

cd intel_sdk*

for f in *rpm
fakeroot alien --to-deb $f

for f in *deb
sudo dpkg -i $f

Now that that's out of the way, download the latest source for cgminer:

cd ~someuser
git clone

Now that cgminer is in the build directory, we need to extract the ADL SDK and grab some header files:

cd cgminer-3.7.2-kalroth/ADL_SDK
unzip -j ~/ include/*.h

Now its time to configure cgminer:

cd ~/cgminer-3.7.2-kalroth
CFLAGS="-O2 -Wall -march=native" ./ --enable-scrypt --enable-opencl --with-header-path=/opt/intel/opencl-1.2-

That last step will run the configuration for cgminer, and will result in several screen-fulls of output. Wait for that to end, and scroll up a bit to the final summary.

You should see the following lines, which tell you everything is successful. If you see "disabled" or "NOT FOUND" then something went wrong somewhere along the way.

Configuration Options Summary:

libcurl(GBT+getwork).: Enabled: -lcurl
curses.TUI...........: FOUND: -lncurses
OpenCL...............: FOUND. GPU mining support enabled
scrypt...............: Enabled
ADL..................: SDK found, GPU monitoring support enabled

The screen ought to look something like this:

If the output from configure looks good, all that's left is to actually compile the cgminer, which you can do simply by typing:


There will be some warnings along the way that you can ignore.

Once that's done, it's time to try running cgminer. A very simple command (which you should of course adjust to match your own pool, username, etc.) is below. The screen may seem to hang at first, but give it a good minute or two before you start second guessing things.

./cgminer --scrypt --no-submit-stale --no-client-reconnect --intensity 13 -o stratum+tcp:// -u 1KAnH78wzmEb24psVn2VN3trvbWcHPpWEy -p xxx

If everything went well you'll see a cgminer screen with your video card(s) that looks something like this:

Final Touches

If you want to get a bit fancier, since we installed the screen package, you can use it to start a session that will persist across connections by something like:

screen -S myminer ./cgminer --scrypt --no-submit-stale --no-client-reconnect --intensity 13 -o stratum+tcp:// -u 1KAnH78wzmEb24psVn2VN3trvbWcHPpWEy -p xxx

That will allow cgminer to continue running even if you close your ssh window. Then when you come back, you can issue a command like:

screen -r -d myminer

and pick up reading the output from where you left off. (If you'd like, you can also throw the cgminer command into an executable file (called, say, miner) and issue the screen command with screen -S miner ./miner, which is a much less unwieldy way to do things.)

Happy mining!


    0 of 8192 characters used
    Post Comment

    No comments yet.


    This website uses cookies

    As a user in the EEA, your approval is needed on a few things. To provide a better website experience, uses cookies (and other similar technologies) and may collect, process, and share personal data. Please choose which areas of our service you consent to our doing so.

    For more information on managing or withdrawing consents and how we handle data, visit our Privacy Policy at:

    Show Details
    HubPages Device IDThis is used to identify particular browsers or devices when the access the service, and is used for security reasons.
    LoginThis is necessary to sign in to the HubPages Service.
    Google RecaptchaThis is used to prevent bots and spam. (Privacy Policy)
    AkismetThis is used to detect comment spam. (Privacy Policy)
    HubPages Google AnalyticsThis is used to provide data on traffic to our website, all personally identifyable data is anonymized. (Privacy Policy)
    HubPages Traffic PixelThis is used to collect data on traffic to articles and other pages on our site. Unless you are signed in to a HubPages account, all personally identifiable information is anonymized.
    Amazon Web ServicesThis is a cloud services platform that we used to host our service. (Privacy Policy)
    CloudflareThis is a cloud CDN service that we use to efficiently deliver files required for our service to operate such as javascript, cascading style sheets, images, and videos. (Privacy Policy)
    Google Hosted LibrariesJavascript software libraries such as jQuery are loaded at endpoints on the or domains, for performance and efficiency reasons. (Privacy Policy)
    Google Custom SearchThis is feature allows you to search the site. (Privacy Policy)
    Google MapsSome articles have Google Maps embedded in them. (Privacy Policy)
    Google ChartsThis is used to display charts and graphs on articles and the author center. (Privacy Policy)
    Google AdSense Host APIThis service allows you to sign up for or associate a Google AdSense account with HubPages, so that you can earn money from ads on your articles. No data is shared unless you engage with this feature. (Privacy Policy)
    Google YouTubeSome articles have YouTube videos embedded in them. (Privacy Policy)
    VimeoSome articles have Vimeo videos embedded in them. (Privacy Policy)
    PaypalThis is used for a registered author who enrolls in the HubPages Earnings program and requests to be paid via PayPal. No data is shared with Paypal unless you engage with this feature. (Privacy Policy)
    Facebook LoginYou can use this to streamline signing up for, or signing in to your Hubpages account. No data is shared with Facebook unless you engage with this feature. (Privacy Policy)
    MavenThis supports the Maven widget and search functionality. (Privacy Policy)
    Google AdSenseThis is an ad network. (Privacy Policy)
    Google DoubleClickGoogle provides ad serving technology and runs an ad network. (Privacy Policy)
    Index ExchangeThis is an ad network. (Privacy Policy)
    SovrnThis is an ad network. (Privacy Policy)
    Facebook AdsThis is an ad network. (Privacy Policy)
    Amazon Unified Ad MarketplaceThis is an ad network. (Privacy Policy)
    AppNexusThis is an ad network. (Privacy Policy)
    OpenxThis is an ad network. (Privacy Policy)
    Rubicon ProjectThis is an ad network. (Privacy Policy)
    TripleLiftThis is an ad network. (Privacy Policy)
    Say MediaWe partner with Say Media to deliver ad campaigns on our sites. (Privacy Policy)
    Remarketing PixelsWe may use remarketing pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to advertise the HubPages Service to people that have visited our sites.
    Conversion Tracking PixelsWe may use conversion tracking pixels from advertising networks such as Google AdWords, Bing Ads, and Facebook in order to identify when an advertisement has successfully resulted in the desired action, such as signing up for the HubPages Service or publishing an article on the HubPages Service.
    Author Google AnalyticsThis is used to provide traffic data and reports to the authors of articles on the HubPages Service. (Privacy Policy)
    ComscoreComScore is a media measurement and analytics company providing marketing data and analytics to enterprises, media and advertising agencies, and publishers. Non-consent will result in ComScore only processing obfuscated personal data. (Privacy Policy)
    Amazon Tracking PixelSome articles display amazon products as part of the Amazon Affiliate program, this pixel provides traffic statistics for those products (Privacy Policy)