JULIAHUB FOR GOVERNMENT

Accelerating Government Research and Development with Julia

The Julia programming language is being used in government R&D to power compute-intensive applications such as advanced machine learning models, and data-intensive analyses. Julia’s high-performance capabilities, native parallelism, and GPU support allow agencies like NASA, US Air Force, ARPA-E and DARPA to gain critical insight in government-funded R&D, accelerate mission-critical tasks and enable real-time decision-making.

Proven Excellence in Government Programs

Julia offers government agencies an 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 rich ecosystem, high performance, advanced data analysis capabilities, and ease of use.

WHY JULIAHUB?

Boost HPC Performance and Reduce Application Costs

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Vibrant Open-Source Ecosystem

Julia’s expansive and continuously growing ecosystem fosters collaboration and accelerates code deployment. Its readability and maintainability ensure long-term sustainability of government projects.

High Performance

Julia’s just-in-time (JIT) compilation system delivers lightning-fast execution, with performance gains of 100-1000x over legacy languages making it an ideal choice for HPC applications in government computing solutions.

Ease of Use

Julia’s intuitive syntax is easy to learn for developers familiar with Python or MATLAB, enabling rapid skill acquisition and minimizing training time.

Advanced Parallelism

Built-in support for parallel computing allows for efficient execution of concurrent tasks, maximizing resource utilization and reducing project timelines.

Math-Friendly Syntax

Julia’s syntax is tailored for complex mathematical operations, streamlining the development process for scientific and engineering applications.

Automatic Differentiation

Simplify the creation of algorithms and models that require gradients and derivatives, reducing coding complexity and enhancing model accuracy.

Native GPU Support

Harness the full potential of GPUs to accelerate computational tasks and simulations, driving innovation in data-intensive government projects.

SOLUTIONS

JuliaHub Solutions for
Secure Computing Environments

JuliaHub develops an enterprise computing platform for distributed, cost-effective, and reproducible computing hosted on commercial Amazon Web Services (AWS). For government customers who want JuliaHub’s capabilities in a secure computing environment, we have developed Juliahub AIR.

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JuliaHub Air

JuliaHub Air is a version of JuliaHub that can be installed in air-gapped secure computing environments. Historically, commercial cloud computing services require 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. JuliaHub Air is a self-contained Kubernetes package server that can be deployed on AWS GovCloud or on-prem HPC platforms (i.e. local GPU clusters) allowing government users to deploy Julia applications based on their specific needs and mission priorities and avoid lengthy and expensive commercial cloud computing authorization processes.

SERVICES

Julia Software Development
For Government R&D

JuliaHub offers a range of specialized software development services to support government research and development (R&D) efforts. By leveraging the power of the Julia programming language, JuliaHub provides unique solutions tailored to meet the needs of complex government projects.

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High-Performance Simulation & Modeling

JuliaHub’s custom development services, powered by JuliaSim, enable faster and more accurate simulations across sectors like aerospace, defense, and energy. This capability reduces development cycles and helps in creating precise models for real-time decision-making.

Advanced Machine Learning Integration

Through SciML, JuliaHub integrates cutting-edge machine learning techniques with scientific computing, enabling government researchers to tackle complex predictive modeling and optimization challenges more effectively.

Advanced Data Analysis and Visualization

JuliaHub supports government R&D by offering powerful tools for data analysis and visualization, enabling researchers to derive insights from vast datasets efficiently. This allows for better-informed decision-making in projects related to national security, healthcare, and environmental monitoring.

CASE STUDIES

Trusted by Government Thought Leaders

Over the past 7 years, Julia has secured over $25M in grants and R&D contracts from prestigious government entities such as the NSF, NASA, DARPA, DOE, ARPA-E, IARPA, DoD, the Air Force, and the Office of Naval Research. This list includes:

NASA

Mission-critical research in areas such as the development of high-performance simulations and advanced models for climate modeling, space exploration, orbital mechanics and spacecraft trajectory analysis.

Defense Advanced Research & Projects Agency (DARPA)

Numerous awards driving innovation in grand-challenge problems such as pandemic modeling, analog circuit design, RF beamforming, social media analysis, and natural language processing

Department of Energy (DOE)

Innovative approaches to simulating energy consumption to drive efficiency in large buildings and HVAC control systems.

US Air Force

Multiple contract awards for analyzing flight test data, drone command & control, and simulation & modeling.

Ready to accelerate your government workflows with JuliaHub?

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