Zaccone, Giancarlo
Python Parallel Programming Solutions
LEO-SUED Medien

Learn parallel programming techniques using Python and explore the many ways you can write code that allows more than one task to occur at a time. First, discover how to develop and implement efficient software architecture that is set up to take advantage of thread-based and process-based parallelism. Next, find out how to use Python modules for asynchronous programming. Then, explore GPU programming using PyCUDA, NumbaPro, and PyOpenCL. This course provides extensive coverage of synchronizing processes, streamlining communication, reducing operations, and optimizing code so you can select and implement the right parallel processing solutions for your applications. Note: This course was created by Packt Publishing. We are pleased to host this training in our library.


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Weiterführende Informationen

Personen: Zaccone, Giancarlo

Zaccone, Giancarlo:
Python Parallel Programming Solutions : LinkedIn, 2017. - 03:57:12.00

Zugangsnummer: EM-1505226997
Signatur: eLearning - LEO-SUED Medien