Government agencies worldwide use Julia for research, development, econometric computations, safety, machine learning and many other compute intensive applications
Julia for Government
Government agencies worldwide use Julia for research, simulation, data science, machine learning, and scientific-technical computing.
Julia offers government agencies an exciting new open-source alternative to dramatically increase performance and reduce the costs of maintaining high-performance computing (HPC) applications. What sets Julia apart from other programming languages is its unique combination of high performance, advanced data analysis capabilities, and ease of use.
Julia's just-in-time (JIT) compilation system, combined with its rich support for cloud computing and native GPU support enables lightning-fast execution of complex computations.
Developers maintaining legacy code written in Python, MATLAB, SIMULINK, etc will find Julia’s syntax simple and familiar and routinely see increases in performance of 100-1000x. And the emergence of AI code generation tools enables the rapid translation of legacy code into Julia.
Julia’s rich and growing open-source ecosystem of scientific-technical computing resources allows developers to collaborate and rapidly deploy code that is easy to read, understand, and maintain.
Over the past 5 years, Julia has seen traction across a broad range of government agencies with over $25M in government grants and contracts awarded from thought leaders such as NSF, DARPA, DOE, ARPA-E, IARPA, DoD, Air Force, and the Office of Naval Research.
JuliaHub for Secure Computing Environments
JuliaHub is an enterprise computing platform for distributed, cost-effective, and reproducible computing. To support government users operating in secure computing environments, we have developed JuliaHub Air, a version of JuliaHub that can be installed in secure air-gapped computing environments. JuliaHub Air is delivered as a Kubernetes package that can be deployed on AWS Govcloud or on-prem HPC assets (such as GPU clusters).
JuliaHub Air is delivered with installation scripts, documentation, and test procedures to support government issuance of an Authority to Operate (ATO) on secure government networks.
Delivering JuliaHub Air as a self-contained Kubernetes package enables government users to deploy the JuliaHub development platform in a variety of secure computing environments.
Historically, any commercial cloud computing application requires extensive third-party validation, testing, and certification in order to be used by government agencies (i.e. FedRAMP, DoD ILS, etc). This process is expensive, time-consuming, and typically results in substantial delays in the deployment of new cloud applications for government users.
By delivering JuliaHub Air as a self-contained Kubernetes package, JuliaHub provides government users the ability to accelerate the deployment of Julia applications based on their specific needs and mission priorities.
- Julia is the Fastest Growing Open Source Programming Language for Scientific & Technical Computing, addressing the 2 language problem
- Speed - Runs 1000x faster than Python natively in the cloud and on GPU’s
- Ease-of-Use - A Python or MATLAB programmer will find Julia very intuitive and can be proficient in Julia in 3-5 days of instruction
- JuliaHub was created by the founders of the Julia language as a powerful cloud-based platform for Julia application development.
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High Performance Computing
JuliaHub was created by the founders of the Julia language as a powerful cloud-based platform for Julia application development.
Speed - Runs 1000x faster than Python natively in the cloud and on GPU's
Ease of Use
Ease-of-Use - A Python or MATLAB programmer will find Julia very intuitive and can be proficient in Julia in 3-5 days of instruction
Solve the Two Language Problem
Julia is the Fastest Growing Open Source Programming Language for Scientific & Technical Computing, addressing the 2 language problem
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