Please do not think that you do not have access to a supercomputer, or only the one(s) at your institution. There are many available to academic researchers in the US. Below is a list.
Name | Cores | GPUs | Domains | Access |
|---|---|---|---|---|
← | Biomedical | |||
← | Deep Learning Training | |||
← | Any | |||
735,840 | 0 | DOE and national concerns | ||
471,120 | 360 | Any | ||
368,280 (Skylake) | 0 | Any | ||
323,712 | 0 | NSF Atmospheric and related | ||
295,168 | 6,148 | DOE and national concerns | ||
281,088 | 192 | DOE and national concerns | ||
202,752 | 27,648 | DOE and national concerns | ||
145,152 | 0 | NSF Atmospheric and related | ||
93,696 (AMD 7742) | 216 | Any | ||
Cannon (Harvard) | 80,000+ (Mix) | 276+ | Harvard Only (for comparison) | |
66,264 (AMD 7742) | 280 | Any | ||
64,768 (AMD 7713) | 360 | Any | ||
60,000 | 0 | Any | ||
17,664 (Cascade Lake) | 0 | Any | ||
15,000 | 0 | Computer systems research | ||
11,840 (Ice Lake) | 262 | Any | ||
6,672 | 22 | Any | ||
2,976 | 120 | NSF funded Genome Analysis | ||
2,000 | 0 | Any |