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  1. Some of the topics to be covered are - SIMD, multi-threading, multi-process and GPU programming. We will also be talking briefly about the need for parallelism and some of the successes we’ve seen with Julia’s parallel capabilities.

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  2. On Tuesday Feb 18 from 12 noon to 12:45 pm EDT, we will be hosting a webinar and answering questions live online about Parallel Computing with Julia. Presented by: Prof. Alan Edelman Register here -

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  3. “I’ve found that Julia is about 50-100x faster than other systems I’ve used that have similar flexibility – such as other dynamically typed programming languages and SQL databases.” -Kevin Atteson, Atteson Research

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  4. 28. sij

    Live online trainings with Julia Computing instructor Dr. Matt Bauman: Intro to Julia (Feb 12-13), Intro to ML and AI in Julia (Feb 19-20) and Parallel Computing in Julia (Feb 26-27). Click to register.

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  5. 22. sij

    Learn the language of the future from the best. To avail early bird discounts and register click here, To know more click here,

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  6. proslijedio/la je Tweet
    22. sij

    One year ago, MMS, and joined to form the Health Analytics Collective. This research supergroup seeks to shorten the approval process for by leveraging :

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  7. 20. sij

    Julia #1 Most Exciting New Language for Bioinformatics: Bioinformatics scientist Albert Vilella conducted a survey and identified as the #1 most exciting new language for bioinformatics.

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  8. 17. sij

    As of Jan 1, 2020, Julia has been downloaded more than 12.95 million times - an increase of 77% in just one year. Read more about this and other Julia developments in the January newsletter,

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  9. 15. sij

    Julia Computing will participate in Career Zoo’s ‘Tech on the Wild Atlantic Way’ event in Limerick, Ireland Julia Computing’s Avik Sengupta (VP Engineering) will lead a workshop on ‘Machine Learning with Julia’. You can register here for this free event,

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  10. 10. sij

    Register today for a Free Webinar on Pharmacology and Pharmacometrics using Pumas. Pumas is a next generation Julia package for simulation and estimation of quantitative pre-clinical and clinical pharmacological models. Register:

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  11. 8. sij

    "Running the analyses was much faster in Julia than it had been in R. In fact the key analysis, where I calculated the genetic diversity of each grid cell, was ~100 times faster in Julia.”

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  12. 30. pro 2019.

    Have you ever wanted to develop your own package for the Julia programming language? Have you ever wanted to contribute a bug fix? Then this tutorial by is for you!

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  13. 30. pro 2019.

    Timeline uses Julia to provide Web-based financial planning. Julia reduced online query time from 40 seconds to 0.6 seconds – a 98.5% improvement. But Julia is not only faster, it’s also cheaper. Read more,

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    26. pro 2019.

    Some familiar names in paper

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  15. 26. pro 2019.

    New Julia Benchmarks: published new reproducible benchmarks demonstrating Julia’s superior performance for ordinary differential equations (ODEs) compared with Python, Matlab and R.

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  16. 19. pro 2019.

    The IEEE Computer Society recognises Alan Edelman for outstanding breakthroughs in high-performance computing, linear algebra, and computational science and for contributions to the Julia programming language.

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  17. 18. pro 2019.

    Julia Computing has been awarded funding by the US Department of Energy Advanced Research Projects Agency-Energy(ARPA-E) to “develop a neural component machine learning tool to reduce the total energy consumption of HVAC systems in buildings.”

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  18. 17. pro 2019.

    Julia has been selected by Google to participate in the Google Code-In program which introduces teens aged 13-17 around the world to open source development, If you know teachers, parents, or students who may be interested,register

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  19. 13. pro 2019.

    Julia Computing’s Alan Edelman Accepts IEEE Sidney Fernbach Award at SC19,

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  20. 11. pro 2019.

    Join our free micro training on "Building XGBoost Model for Classification with Julia". Register here . XGBoost is an implementation of Gradient Boosting Machines that achieves high accuracy using tabular data.

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