Exploiting the power of multi-core for scientific computing in Python
Vishal Kanaujia and I presented a talk on ‘Diving into Byte-code optimization in Python’ at SciPy conference held at IIT Bombay from 04-07 Dec 11.
Agenda of the talk:
Understanding the big data problem in scientific compution
A good design strategy for developing applications
Python with Multi-cores
- threading
- GIL impact
- multiprocessing
- Pros and Cons
- Beyond CPython
GIL free world: Jython
Jython is not All
Conclusion
Slides of the presentation can be found Exploiting the power of multicore for scientific computing in Python
Click for the Video
Posted on February 2, 2012, in Talks and tagged code optimization, cores, CPython, design strategy, GIL, IIT Bombay, Indian Institute of Technology Bombay, jython, Languages, multicores, Multiprocessing, Programming, Python, SciPy, threading. Bookmark the permalink. Leave a Comment.
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