Computational Secrets of Julia Revealed

Live Virtual Workshop

Friday, December 02, 2022, from 9:00am to 11:00am PST

Explore the power of the fifth most popular programming language: Julia

The programming language Julia has gained adoption in organizations that focus strongly on performance, with adherents such as NASA, Climate Modeling Alliance, and CERN. Julia is especially adept at high-performance computing, as many programmers at Intel have recognized. In this virtual workshop, gain a solid introduction to Julia from Professor Alan Edelman, slanted toward a sharper understanding of computational thinking and scientific computing.

This workshop approaches real-world programs using Julia and covers these topics:

  • Applying data analysis and computational and mathematical modeling effectively
  • Using the Intel® oneAPI Math Kernel Library (oneMKL)—part of oneAPI—in Julia to achieve accelerated performance for vector, vector-matrix, and matrix-vector operations.
  • Discovering programming advantages of Julia when used with oneAPI

Julia, a high-level dynamic programming language, combines the speed of C/C++ with the ease of use of Python. According to Stack Overflow, Julia ranks as the fifth most loved programming language in the world—for good reason.

The open, multi-architecture and multi-vendor programming model, oneAPI, delivers hardware-specific software acceleration within a common developer experience. oneAPI powers many of the leading open-source programming languages and AI frameworks.

Feed your brain by attending this enlightening workshop.

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Professor of Applied Mathematics, Computer Science and AI Laboratories at MIT Julia Lab Research Group Leader Chief Scientist at JuliaHub

Alan Edelman

Machine Learning Architect, Intel

Rahul Unnikrishnan Nair

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