You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Current version of Taichi can run only single backend in single process.
This imposes serious restrictions on the parallelization of calculations using multiple CPU/GPUs of different backends.
In this case, it is necessary to run separate python processes.
However, there are disadvantages to this:
each python process eats up an additional couple of GB of swap
The data must be transferred between processes, which slows down the computation
You may need to change the architecture of the Taichi.
But it's better to start now, and don't waste time.
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
Current version of Taichi can run only single backend in single process.
This imposes serious restrictions on the parallelization of calculations using multiple CPU/GPUs of different backends.
In this case, it is necessary to run separate python processes.
However, there are disadvantages to this:
You may need to change the architecture of the Taichi.
But it's better to start now, and don't waste time.
Beta Was this translation helpful? Give feedback.
All reactions