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High Performance Python on Intel Many-Core Architecture

Offered By: EuroPython Conference via YouTube

Tags

EuroPython Courses Machine Learning Courses Python Courses Scientific Computing Courses Data Analytics Courses High Performance Computing Courses

Course Description

Overview

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Explore high-performance Python optimization techniques for Intel's multi-core and many-core architectures in this EuroPython 2016 conference talk. Gain insights into the latest Intel processors, including the newly released Intel Xeon Phi (Knights Landing). Discover the Intel® Distribution for Python and its capabilities in accelerating Python code for scientific computing, data analytics, and machine learning. Learn about available tools and libraries from Intel Software that enable high-performance Python code on advanced processor architectures. Delve into topics such as hardware overview, required components, Python libraries, Empire, MKL, and Vtune. Understand the inner workings and user interface of these optimization tools to enhance your Python programming skills for Intel-based systems.

Syllabus

Introduction
Overview
Hardware Overview
What is required
Python libraries
Empire
MKL
Vtune
How it works
User interface
Questions


Taught by

EuroPython Conference

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