Search Results for "nbody"
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Showing 11 open source projects for "nbody"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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This is a working toolkit for building a simulation of a star cluster. NBody itself is written in C, it's visualization software is in Python. Please see the readme for more information.
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Analysis software for Nbody/SPH or SPH simulations (e.g. performed with Gadget II). See http://sourceforge.net/apps/wordpress/hyplot/about and http://sourceforge.net/apps/trac/hyplot/wiki for more information.
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SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
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All pairs n-body simulation of electromagnetic forces on charged particles, adapted from Nvidia SDK 3.2 sample. Uses Lorentz force from EM fields via the Biot-Savart law for moving charged particles (uses relative velocity). Relativistic.
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A collection of high performance astrophysical N-body simulation, analysis and visualization tools. These are written in C, C++, Java and Fortran, designed for serial and parallel computers. Primary motivation: enable wider community collaboration.
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The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
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This project constitutes an implementation of a custom-design distributed computing environment. The implementation is based on a form of Nbody simulation, which ran successfully across 33 networked-hosts.
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BGalaxy1
nbody simulation, implementing a Barnes-Hut in OpenCL.
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