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Table of Contents

1. System Requirements

Basic Requirements

The only mandatory requirement for using MiningMath is a 64-bits system, as the Direct Block Scheduling became feasible only with this technology.

    • Windows 10.

    • 64-bits system (mandatory).

    • 110 MB of space (installation) + additional space for your projects' files.

    • Processor: processors above 2.4 GHz are recommended to improve your experience.

    • Memory: at least 4 GB of RAM is required. 8 GB of RAM or higher is recommended to improve your experience.

    • OpenGL 3.2 or above, discover yours by downloading and running the procedure available here.

Recommended Hardware

MiningMath's intelligence demands more from memory than any other hardware specification. Therefore, a list of priority upgrades to improve performance with huge data sets should comprise:

    • More RAM.

    • Higher RAM frequency.

    • Higher processing clock.

Notice that MiningMath does not use multiple processing threads for a single scenario. To take advantage of a multi-thread processor, consider running different instances of MiningMath with different scenarios.

2. MiningMath Installation

2.1 Installing, activating, and running!

MiningMath installation and activation is simple and straightforward. All you need is to follow the setup wizard and have an internet connection to activate your license.

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2.2 Installation process

The installation is really straight forward, here are some screenshots of the process. Right after installing, the software will open up.

2.3 Activating your License

To activate your license, you will need to:

    1. Open MiningMath (after the installation, it will open automatically, but you can open it manually afterward).

    2. On the left menu, click License.

    3. Select the field "I have an activation code", paste the License Code provided by MiningMath.

    4. Click in "Activate license".


MiningMath's licensing method demands an internet connection.

Screenshots might slightly differ from version to version.

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