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Applications. You will need your docker image name/URL or a proprietary application name, your input files, and the command line to execute within the executed environment. The command line can be as simple as executing an application with a docker image, a command to execute the first input file, or a more involved script that handles the logic of your job.

Execution Environments. It's possible to run code in a range of languages directly on Charity Engine, by specifying the relevant execution environment.

Input+Output Files and Networking. All nodes have limited network access for retrieving input data via files submitted during job/batch creation and/or from internet resources available via HTTP(S).

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• Docker images available on Docker Hub (e.g. docker:python:3.7)
• Custom Docker images available anywhere online (e.g. docker:image-name https://example.com/file for 64bit docker images, or docker-x86:image-name https://example.com/file for 32bit docker images)
• Proprietary applications Applications deployed directly on the Charity Engine network, both open-source and proprietary (e.g. charityengine:wolframengine). For a list, see our App Library.

See instructions on the appropriate interface (section 1.1) for further execution details.

Execution Environments

To run raw code on Charity Engine, just upload your code and specify the relevant execution environment, either using a "named" environment in our App Library, or by specifying an appropriate container on Docker Hub or the web (see 1.2 "Applications", above)

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Examples:

sfsdfd

See instructions on the appropriate interface (section 1.1) for further execution details.

Input + Output Files

Once the computation environment runs, the input files provided during job submission are downloaded from the internet and are made available for the applications on the compute nodes in the /local/input virtual disk location.

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Additionally, network requests can be routed through the Charity Engine Distributed Proxy Service (See "Web Crawling + Proxy", below).

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We offer a range of instance types, for both CPU and GPU computing.  For details, see the Instance Type documentation.

Custom arrangements may be possible; contact us if currently available instance types or feature-sets are not suitable for your workloads.

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Distributed Storage is a networked file storage system which can be used to host large quantities of data, with data persistently maintained and replicated across multiple devices distributed worldwide. Access to this network is possible using all of the Charity Engine interfaces such as the Remote API, Remote CLI, and Smart Contracts. 

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