Hi everyone,
I’m new to TeNPy and have a question about core usage for large bond dimension calculations. What is the optimal number of cores in such cases? Is it generally true that using more cores results in faster computations?
From my experience with other DMRG codes, the optimal number of cores for large bond dimensions tends to be around 5–6. Increasing the core count beyond this often slows down calculations.
Cheers,
Zach