Hot-or-Not: Julia's disruption of the high-tech industry

Faster than C++ and easier than Python, Julia is bringing down the walls and the costly time between the mathematicians that write algorithms and the system and software developers that make it run smoothly on high-tech machines.

Learn how DSLs can be embedded in the language and how Julia talks directly to the machine. Discover multiple dispatch, a novel way to look at abstraction that promotes code re-use in different domains and interfaces.

With Julia improvement algorithms for medical devices can be implemented directly on a device, saving valuable time and even lives. Optical inspections in semicon machines can avoid the wasted energy associated with scripting languages and virtual machines. With Julia, you no longer need to feel guilty about deploying an algorithm in the cloud as you do with Python and its 70x higher energy consumption. 

Deepak Vinchhi (co-founder of JuliaHub) and Christopher Rackauckas (VP of Modeling and Simulation at JuliaHub) will tell you all about the language and the platform. At the end of the evening, you’ll decide if the subject is Hot or Not.