Government agencies worldwide use Julia to in research, development, econometric computations, safety, machine learning and many other compute intensive applications
Government agencies worldwide use Julia to in research, development, econometric computations, safety, machine learning and many other compute intensive applications.
Examples include aviation safety, planning space missions, central banking and cataloging all the visible objects in the night sky.
Economists from the Federal Reserve Bank of New York explain:
“Julia has two main advantages from our perspective. First, as free software, Julia is more accessible to users from academic institutions or organizations without the resources for purchasing a license. Now anyone, from Kathmandu to Timbuktu, can run our code at no cost.”
“Second, as the models that we use for forecasting and policy analysis grow more complicated, we need a language that can perform computations at a high speed. Julia boasts performance as fast as that of languages like C or Fortran, and is still simple to learn. We want to address hard questions with our models—from understanding financial markets developments to modeling households’ heterogeneity—and we can do so only if we are close to the frontier of programming.”
“We tested our code and found that the model estimation is about ten times faster with Julia than before, a very large improvement. Our ports (computer lingo for “translations”) of certain algorithms, such as Chris Sims’s gensys (which computes the model solution), also ran about six times faster in Julia than the … versions we had previously used.”
Brazilian National Development Bank
The Brazilian National Bank for Economic and Social Development (BNDES) used a mathematical program in Julia to increase the speed of their asset and liabilities modeling by over 10x
Parallel Supercomputing for Astronomy
Researchers use Julia on a NERSC supercomputer (650,000 cores) to speed astronomical image analysis 1,000x, catalog 188 million astronomical objects in 15 minutes and achieve peak performance of 1.5 petaflops per second
New York Federal Reserve Bank
The Federal Reserve Bank of New York publishes its trademark Dynamic Stochastic General Equilibrium models in Julia
The Federal Aviation Administration is using Julia to develop the Next-Generation Airborne Collision Avoidance System
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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