https://insidehpc.com/2018/08/julia-1-0-release-opens-doors-connected-world/
- "Julia powers the Federal Aviation Administration’s NextGen Aircraft Collision Avoidance System (ACAS-X), BlackRock’s trademark Aladdin analytics platform and the New York Federal Reserve Bank’s Dynamic Stochastic General Equilibrium (DSGE) macroeconomic model"
- "Aviva is one of Europe’s largest insurance companies. Their legacy risk modeling system was built using IBM Algorithmics in 2012. But by 2016, that system wasn’t fast enough or sophisticated enough for Solvency II compliance."
- "The Julia models ran about 1,000 times faster than IBM Algorithmics"
- "Aviva managed to reduce the number of lines of code from ~14,000 lines in IBM Algorithmics to just ~1,000 lines in Julia - a 93% reduction"
- "The server cluster size required to run Aviva’s risk model simulations fell 95% from 100 servers to 5 servers."
- "These factors plus reduced licensing fees moving from a proprietary program (IBM Algorithmics) to an open-source language (Julia) resulted in overall savings of millions of pounds per year"
- "Parallel Supercomputing for Astronomy: Loaded an aggregate of ~178 terabytes of image data and produced parameter estimates for 188 million stars and galaxies in 14.6 minutes"
If you have an interest in learning Julia, this book, Think Julia, by Ben Lauwens - might be of interest:
Personal Note:
- I met the co-creators of Julia in 2012, when they traveled to St. Louis to present Julia at The Strange Loop 2012 conference.
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