Timeline for How to give assignments that require heavy computational resources?
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 18, 2020 at 8:36 | history | edited | CommunityBot | Commonmark migration | |
| Apr 14, 2018 at 11:46 | comment | added | Frax | Google Cloud Platform gives $300 for a year for all new users. It also offers some grants for universities. | |
| Apr 9, 2018 at 15:38 | comment | added | rm -rf slash | I second this approach. As a current graduate student, last semester I took a parallel computing class that had all CPU parallelization assignments done (via SSH) on a computing cluster at our university, and all GPU parallelization assignments done on a Google Cloud instance using an Nvidia Tesla K80. The GCloud credits were more than enough to cover usage time during the course. I think @Aurora0001 has the most appropriate solution. | |
| Apr 9, 2018 at 7:48 | comment | added | pipe | @TalhaIrfan Please, don't add every single cloud service to this answer. | |
| Apr 9, 2018 at 1:11 | comment | added | Failed Scientist | Kindly add the FloydHub as well - one of my student used it recently and its not as powerful as AWS, but maybe fit somewhere for some assignments. | |
| Apr 8, 2018 at 19:18 | history | edited | Aurora0001 | CC BY-SA 3.0 | added 516 characters in body |
| Apr 8, 2018 at 15:28 | comment | added | Discrete lizard | The main problem here is of course that the costs may scale badly wrt to the number of students. But this is a good overview of this option, thanks. | |
| Apr 8, 2018 at 15:17 | history | answered | Aurora0001 | CC BY-SA 3.0 |