Node.js Add-ons for High Performance Numeric Computing

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Infos
Thursday, April 12 2018
12:30 - 13:15
Room:
Room E+F

Node.js add-ons allow native code written in C and C++ to be run from the Node.js JavaScript runtime. In this talk, Athan will discuss how to utilize native add-ons for high performance numeric computing and machine learning in server-side applications. He will first provide an overview of add-ons and their associated toolchain. Next, he will provide a step-by-step example which involves compiling basic linear algebra subroutines (BLAS), a suite of libraries which are part of the core foundation of most modern numeric computing environments, as native add-ons. While Node.js add-ons are oriented toward C and C++, he will show how to extend compilation support to Fortran libraries in order to maximize computational performance. Throughout this talk, Athan will offer lessons learned, tips and tricks, and other insights gained while writing add-ons to help you maximize Node.js for your server-side applications and to demonstrate why Node.js is an excellent environment for high performance numeric computing and machine learning.

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

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

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

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