Search Results for "cp/m"
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Showing 4 open source projects for "cp/m"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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QuadRay-engine
Realtime raytracer using SIMD on ARM, MIPS, PPC and x86
QuadRay engine is a realtime raytracing project aimed at full SIMD utilization on ARM, MIPS, POWER and x86 architectures. The efficient use of SIMD is achieved by processing four rays at a time to match SIMD register width (hence the name). The rendering core of the engine is written in a unified SIMD assembler allowing single assembler code to be compatible with different processor architectures, thus reducing the need to maintain multiple parallel versions. At present, Intel... -
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rayshade-mathematica
rayshade and POV for Mathematica Export + view
... * raytracing makes more realistic images than GL/CL/Cuda (are best for game, geo/mapping, accelerated) but is slower. POVRay is supported about as well. For a .gif animation see: http://community.wolfram.com/groups/-/m/t/1096001 see also: https://sourceforge.net/p/rayshade http://www.povray.org -
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Irrlicht .NET CP is a .NET wrapper of the famous Irrlicht rendering engine. It provides a full, entirely cross-platform 3d rendering engine working with any .NET language. Moreover it has an extensions library which adds a lot of features to the engine.
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RealityFramework is a graphics (Irrlicht .NET CP), sound (openAL), physics (Newton Dynamics), scripting (LUA) and networking (Lidgren) solution for multimedia applications.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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