Shinya Morino
Shinya Morino
Postponed to Beta2.
Hello Sakthi, It’s really nice to hear from you, and sorry for my late reply. Yes. Solvers are based on path integral Monte Carlo, which are parallelized on CPU and...
I started to write a doc at the below link, will complete it within days. https://github.com/shinmorino/sqaod/wiki/Sqaod-overview-for-developers
Though the doc is still draft, it may help you with understanding overview of sqaod. If you have anything need to know, please let me know.
docstring and sphinx-generated docs will be prepared on v1.0.1.
Postponed to beta. I investigated wildcat, and no blockers to implement sqaod in wildcat.
- Concurrent execution of annealing with multiple GPUs. - Divide and conquer to accelerate large size problems.
The memory amount for random buffers are limited. All required changes were committed by a2cf712aa39a49fdcf0e0c3af5b34277756a1a33.
Temp memory usage should be limited. Code modifications will be done after beta2.