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- Smart Contract
- Dapp UI (*contact us for demo access)
Web[A web-based GUI is coming soon].
Custom Arrangements
Please contact us with any special needs, which may not be covered above.
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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/filefor 64bit docker images, ordocker-x86:image-name https://example.com/filefor 32bit docker images) - Applications deployed directly on the Charity Engine network, both open-source and proprietary (e.g.
charityengine:wolframengine). For a list, see our App Library.
Each job should be a fully independent, self-contained unit of work. Structure your parameter space so that each job covers a distinct range — for example, a starting offset or task index passed as a command-line argument — and runs a predefined number of iterations calibrated to approximately one hour on an average CPU (e.g. a modern i5 or Ryzen 5).
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Example: suppose your application searches a parameter space defined by a single integer offset N. Calibrate how many iterations complete in one hour, then assign each job a distinct starting point: # Job 1: process range starting at 0 # Job 2: process range starting at 10000 # Job 3: ... The --count value (iterations per job) should be determined so the expected wall time is approximately one hour. If the workload is uneven across the parameter space, err on the side of shorter jobs and submit more of them. |
See instructions on the appropriate interface (section 1.1) for further execution details.
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This produces an output file named "sum.out" in the local directory, which contains the sum of the numbers given on the command line.
See Packaging as a Docker container for details on how to package your application into a self-sufficient Docker container.
See instructions on the appropriate interface (section 1.1) for further execution details.
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