JuliaHub helps you read, write, run and share Julia code and applications. JuliaHub is the quickest, easiest on-ramp to leverage Julia – the fastest, easiest, and most powerful scientific, mathematical, and statistical computation language yet.
Video Highlights: JuliaHub – The Best Way to Run Large Scale Computing in the Cloud
July 23, 2022 by Leave a Comment
Julia: The Programming Language Of The Future
November 10, 2019 by Leave a Comment
Keno Fischer, Julia Computing co-founder and CTO (Tools) discussed Julia and Julia Computing in a recent interview. Learn how he became interested in computer science and how Julia was created, and how a 16 year-old German exchange student became a 19 year-old co-founder of Julia Computing. Keno shares stories behind the creation of the popular […]
Composable Multi-Threaded Parallelism in Julia
September 1, 2019 by Leave a Comment
JuliaCon 2019, held July 22-26, 2019 at the University of Maryland in Baltimore, was the biggest and best JuliaCon to date. The JuliaCon session below, “Composable Multi-Threaded Parallelism in Julia,” was presented by Jeff Bezanson and Jameson Nash (Julia Computing). The talk discusses the release of a preview of an entirely new threading interface for Julia programs: general task parallelism.
Pumas-AI Launches Julia Language-Based Software to Advance Drug Development, Patient Care
August 4, 2019 by Leave a Comment
Pumas-AI – a new company established by University of Maryland School of Pharmacy faculty members Vijay Ivaturi, PhD, assistant professor in the Department of Pharmacy Practice and Science (PPS), and Joga Gobburu, PhD, MBA, professor in PPS – is proud to announce the release of its first cutting-edge software platform for pharmaceutical researchers and clinicians. Known as Pharmaceutical Modeling and Simulation (Pumas), the software was developed through a partnership with experts at Julia Computing.
Book Review: Julia for Data Science by Zacharias Voulgaris, Ph.D.
January 10, 2017 by Leave a Comment
Here’s a useful new book for data scientists looking to approach the field from a unique perspective that doesn’t include language heavyweights like R and Python. “Julia for Data Science,” by Zacharias Voulgaris, Ph.D. from Technics Publications, allows you to master the Julia language to solve business critical data science challenges. But why look to a relatively new language when you already have other commonly-used languages at your disposal?
