Faster than NumPy: High-performance numerical computation in JavaScript

Session
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Until July 9:
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Until February 13:
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Until February 13:
✓ PlayStation Classic Mini or C64 Mini for free
✓ Save up to £335
✓ Group discount
Register now
Infos

NumPy is a foundational component of the PyData ecosystem, providing a high-performance numerical library on which countless image processing, machine learning, and data analytics tools are built in Python. Is it possible to bring the same power, performance, and robustness to JavaScript? In this talk, I’ll discuss our journey in trying to build such a library. I’ll dive deep into the weeds of performance profiling, hidden classes, cache-oblivious iteration, hardware optimization, and much more. I’ll show benchmarks showcasing how well JavaScript stacks up against the competition. And I’ll conclude by discussing where we go from here. So is it possible? Come to my talk to find out, as the answer may surprise you.

This Session originates from the archive of Diese Session stammt aus dem Archiv von New YorkNew York . Take me to the program of . Hier geht es zum aktuellen Programm von New York New York .

This Session originates from the archive of Diese Session stammt aus dem Archiv von New YorkNew York . Take me to the program of . Hier geht es zum aktuellen Programm von Munich München .

This Session originates from the archive of Diese Session stammt aus dem Archiv von New YorkNew York . Take me to the program of . Hier geht es zum aktuellen Programm von London London .

This Session Diese Session originates from the archive of stammt aus dem Archiv von New YorkNew York . Take me to the current program of . Hier geht es zum aktuellen Programm von New York New York , Munich München or oder London London .

STAY TUNED!

 

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