Community Programs¶
Last updated: Nov 3, 2019
Limited Free Access for Academic Users¶
The Free Access Program completed in May of 2020.
The last Free Access Program completed as of 2020/05. Users are still welcome to submit their information for any future similar programs.
For users with current academic affiliation we can provide computational resources free of charge on a case-by-case basis.
Applying for Limited Free Access¶
As below:
- Fill in this online form
- For new users - submit a registration request using an email address associated with your academic institution include the information requested in 3.
- For existing users - if you use a personal email address during the registration, send an email to "support@exabyte.io" from the email address associated with your academic institution (ie. hosted on a ".edu" domain) with a subject containing "Free Access for Academic Users"
we will review and enable access as appropriate. We will prioritize applications providing detailed information about the applicants (ie. Google Scholar, ResearchGate profile(s), links to prior publications) and the nature of the anticipated work.
Conditions¶
Free access is limited to certain compute resources only and is subject to other limitations as below. We will consider adjusting the limitations according to the user feedback received. Contact "support@exabyte.io" for this.
Limitations¶
| Feature | Explanation |
|---|---|
| Max nodes per job | 1 |
| Max cores per job | 4 |
| Max job walltime | 24 hours |
| Max job queued per user | 4 |
| Available Queues | "D" only |
| Available Resources | "cluster-009" only |
| Included Disk Quota | 10 Gb |
Acknowledgements¶
Any/all published work derived from the Limited Free Access program must include the following Acknowledgement text and citation below.
Acknowledgement text
1 2 3 | The authors performed this work partially or in full using the Exabyte.io platform, a web-based computational ecosystem for the development of new materials and chemicals [REFERENCE TO THE BELOW CITATION]. |
Citation
1 2 | Timur Bazhirov, "Data-centric online ecosystem for digital materials science", arxiv.org preprint, 2019, https://arxiv.org/abs/1902.10838 |
In Bibtex format:
1 2 3 4 5 6 | @article{Exabyte.io-Platform-Reference, title={Data-centric online ecosystem for digital materials science}, author={Bazhirov, Timur}, journal={arxiv.org/abs/1902.10838}, year={2019}, } |
Publicity¶
We plan to select some of the work performed under the Limited Free Access program to be highlighted in the online publication sources together with the cloud provider(s) enabling the computational infrastructure.
Reach out to us¶
We are friendly people like you, why not reach out to us with your suggestions and ideas? You may contact us at info@exabyte.io. If you are interested in joining our team, write to hi@exabyte.io with your resume and cover letter.