What’s the comparable figure you could get on typical hardware in today’s university computing clusters or computer labs?
If you could parallelize this program to use all 2.6 TFLOPS in a Macbook Air M1's 8-core GPU, you're seeing about 75,000x speed improvement. So a 12 hour "overnight" job may take just over half a second.
1731 322587 637083 705865 442033 654804 904216 446486 784497 444181 466938 498269 (70 digits) = 25317 847509 490819 861309 522806 413689 (35 digits) × 68383 482718 586893 688113 139227 257221 (35 digits) Time elapsed: 0d 0h 0m 23.8s
This is in JavaScript on a single core on my laptop.
Time elapsed: 0d 0h 5m 38.2s
The purpose of the FaaS (Factoring as a Service) project is to demonstrate that 512-bit integers can be factored in only a few hours, for less than $100 of compute time in a public cloud environment.
512b = 155 decimal digits.