I'm having trouble with parallelism in my Python code. It seems to be running slower than expected.
It sounds like you might be facing issues with how you're managing threads or processes. Can you share more details about your implementation?
I'm using the multiprocessing module, but it doesn't seem to utilize all CPU cores.
Make sure you're using the Pool
class correctly and that you're not running into issues with the Global Interpreter Lock (GIL). Have you checked your code for any blocking calls?
Yes, I have some I/O operations that might be blocking. Should I consider using threading instead?
If your tasks are I/O-bound, using threading can be beneficial. However, for CPU-bound tasks, multiprocessing is usually better. It depends on your specific use case.
Get this answer and more from ChatGPT in Telegram, try it for free!
Get Started For FreePowered by advanced language models trained on billions of online words and conversations, MagicBuddy delivers friendly and helpful chat on demand.
Ask questions and get answers. Crack jokes and get laughs. Or even get writing ideas and study help. MagicBuddy's conversational intelligence allows for a truly unique and useful chat experience.
Curious? Try these prompts:
MagicBuddy is incredibly easy to use and the responses are lightning fast! 🥇
Impressive! MagicBuddy is my go-to AI assistant. It’s quick, accurate, and user-friendly.
Sending voice messages makes it easier to use in the middle of the day and the answers are super fast.
Love it! A friend of mine told me about it and it has made my life so much easier. It’s like having a helpful friend in my pocket!
I use 2 months already, simply amazing! MagicBuddy delivers answers in a snap. It’s a must-have tool for staying informed!
Game-changer! MagicBuddy’s speed and accuracy are unmatched. It’s my secret weapon for productivity
Say Hello to Your New Telegram BFF - Try MagicBuddy Free!
Get Started For Free