Search Results for "process cpu"
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Showing 6 open source projects for "process cpu"
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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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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...Pre-built Windows x64 installer available at https://buymeacoffee.com/nathancrews/e/255640 LAS/LAZ Pointcloud Windows Shell Extension: This "quick viewer" shell extension provides a Windows File Explorer right click menu option to quickly generate 3D preview images for large and small .las and .laz files. (Disclaimer: Processing time depends on compute hardware) Typical processing time for 100mb .las is about 2 seconds. 25mb .laz file process in about the same times. Files are processed in parallel using available CPU cores. Pre-built Windows x64 installer available at https://buymeacoffee.com/nathancrews/e/255641
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SimpleDCS is a Distributed Control System made easy - fully configurable both on hardware and a software level. Experimental stage (alpha)
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Arduino HomeKit ESP8266
Native Apple HomeKit accessory implementation for the ESP8266 Arduino
...Lower versions may compile with errors. For ESP32, see Arduino-HomeKit-ESP32. The HomeKit running on ESP32 has a GREAT PERFORMANCE which is 10x faster than ESP8266. You should set the ESP8266 CPU to run at 160MHz (at least during the pairing process), to avoid the tcp-socket disconnection from the iOS device caused by a timeout. -
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Accelerated Feature Extraction Tool
A fast GPU accelerated feature extraction software for speech analysis
A fast feature extraction software tool for speech analysis and processing. It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present. The output files are stored in HTK format. The software is developed at Department of Cybernetics at University of West Bohemia in Pilsen. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI Studio. Switch between models without switching platforms.
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steam-sim
An accurate, scalable, and energy-aware simulator for WSNs
STEAM-Sim establishes a hardware/software/network co-simulation of wireless sensor networks. Original C code is used in simulation. The code is natively executed by the cpu where the simulation is run. The time annotation engine annotates the C source code used for simulation with the timing information as if the code is run on a microcontroller. The annotation process is fully automated. Hardware models are developed using the PAWiS framework and reflect the timing, functionality, and energy-consumption of real-world hardware such as a CC2420 radio transceiver. ... -
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Specter - Abstract Arithmetics Library (AAL) is a library coded in native C which is able to do operations with numbers of virtually unlimited length. Specter is targeting mainly cryptography and big integer maths though.
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