cpu_features - A cross platform C99 library to get cpu features at runtime.

•    C

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A cross-platform C library to retrieve CPU features (such as available instructions) at runtime. If you wish, you can read all the features at once into a global variable, and then query for the specific features you care about. Below, we store all the ARM features and then check whether AES and NEON are supported.

cpu-features cpu cross-platform microarchitecture

rainbarf - CPU/RAM/battery stats chart bar for tmux (and GNU screen)

•    Perl

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If available, battery charge is displayed on the right.

tmux powerline cpu memory battery monitoring

thor-os - Simple operating system in C++, written from scratch

•    C++

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Thor is an operating system created for learning purposes and for fun. It is currently a 64-bit OS, written mainly in C++, with a few lines of assembly when necessary.

c-plus-plus operating-systems cpp cpu intel network multi-process

awesome-cpus - All CPU and MCU documentation in one place

•    HTML

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This repository contains documentation for various CPUs. There are data sheets, programmer's manuals, quick reference cards, etc. Before submitting a pull request, please read the Contribution Guidelines.

cpu avr openrisc mcu vax xtensa microblaze datasheet sparc powerpc z80 pdp-10 pdp-11 pdp-1 pdp-8 arm m68k risc-v i860 i960

NNPACK - Acceleration package for neural networks on multi-core CPUs

•    C

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NNPACK is an acceleration package for neural network computations. NNPACK aims to provide high-performance implementations of convnet layers for multi-core CPUs. NNPACK is not intended to be directly used by machine learning researchers; instead it provides low-level performance primitives leveraged in leading deep learning frameworks, such as PyTorch, Caffe2, MXNet, tiny-dnn, Caffe, Torch, and Darknet.

neural-network neural-networks convolutional-layers inference high-performance high-performance-computing simd cpu multithreading fast-fourier-transform winograd-transform matrix-multiplication

sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

•    C

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SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices. SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.

computer-vision library deep-learning image-processing object-detection cpu real-time convolutional-neural-networks recurrent-neural-networks face-detection facial-landmarks machine-learning-algorithms image-recognition image-analysis vision-framework embedded detection iot-device iot

systeminformation - System Information Library for Node.JS

•    Javascript

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Breaking Changes: you will see some minor breaking changes. Read the detailed changelog. Lightweight collection of 40+ functions to retrieve detailed hardware, system and OS information.

system-information sysinfo monitor monitoring os osx freebsd openbsd netbsd cpu cpuload physical-cores logical-cores processor cores threads socket-type memory file-system fsstats diskio block-devices netstats network network-interfaces network-connections network-stats iface processes users internet battery docker docker-stats docker-processes graphics graphic-card graphic-controller gpu display smart disk-layout wifi wifinetworks virtual-box virtualbox vm

Remotery - Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

•    C

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A realtime CPU/GPU profiler hosted in a single C file with a viewer that runs in a web browser. Windows (MSVC) - add lib/Remotery.c and lib/Remotery.h to your program. Set include directories to add Remotery/lib path. The required library ws2_32.lib should be picked up through the use of the #pragma comment(lib, "ws2_32.lib") directive in Remotery.c.

profiler gpu cpu d3d11 opengl cuda metal

psutil - Cross-platform lib for process and system monitoring in Python

•    Python

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...both 32-bit and 64-bit architectures, with Python versions 2.6, 2.7, and 3.4+. PyPy is also known to work. Also see scripts directory and doc recipes.

monitoring ps top netstat cpu memory memory-analysis freebsd osx netbsd openbsd disk sensors windows-service system-monitoring process-monitor

Kimera-VIO - Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

•    C++

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For evaluation plots, check our jenkins server. Kimera-VIO is a Visual Inertial Odometry pipeline for accurate State Estimation from Stereo + IMU data. It can optionally use Mono + IMU data instead of stereo cameras.

real-time cpu localization robotics mapping reconstruction slam state-estimation vio visual-inertial-odometry euroc-dataset

stats - macOS system monitor in your menu bar

•    Swift

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You can download the latest version here. This will download a file called Stats.dmg. Open it and move the app to the application folder. Stats currently supported on macOS 10.14 (Mojave) and higher.

cpu monitor battery disk gpu network temperature stats sensors fans

react-adaptive-hooks - Deliver experiences best suited to a user's device and network constraints

•    Javascript

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It can be used to add patterns for adaptive resource loading, data-fetching, code-splitting and capability toggling. Make it easier to target low-end devices while progressively adding high-end-only features on top. Using these hooks and utilities can help you give users a great experience best suited to their device and network constraints.

react performance cpu memory network loading react-hooks adaptive-loading hooks

scalene - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python

•    Python

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by Emery Berger, Sam Stern, and Juan Altmayer Pizzorno. Scalene is a high-performance CPU, GPU and memory profiler for Python that does a number of things that other Python profilers do not and cannot do. It runs orders of magnitude faster than other profilers while delivering far more detailed information.

cpu profiler gpu memory-management performance-analysis memory-allocation profiling cpu-profiling memory-consumption gpu-programming python-profilers scalene profiles-memory performance-cpu

auto-cpufreq - Automatic CPU speed & power optimizer for Linux

•    Python

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Automatic CPU speed & power optimizer for Linux based on active monitoring of laptop's battery state, CPU usage, CPU temperature and system load. Ultimately allowing you to improve battery life without making any compromises. One of the problems with Linux today on laptops is that CPU will run in unoptimized manner which will negatively reflect on battery life. For example, CPU will run using "performance" governor with turbo boost enabled regardless if it's plugged in to power or not.

cli frequency cpu monitor battery monitoring tool daemon boost management speed power automatic turbo laptop governor

SpecuCheck - SpecuCheck is a Windows utility for checking the state of the software mitigations against CVE-2017-5754 (Meltdown) and hardware mitigations against CVE-2017-5715 (Spectre)

•    C

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SpecuCheck is a Windows utility for checking the state of the software and hardware mitigations against CVE-2017-5754 (Meltdown), CVE-2017-5715 (Spectre v2), CVE-2018-3260 (Foreshadow), and CVE-2018-3639 (Spectre v4). It uses two new information classes that were added to the NtQuerySystemInformation API call as part of the recent patches introduced in January 2018 and reports the data as seen by the Windows Kernel. An official Microsoft Powershell Cmdlet Module now exists as well, which is the recommended and supported way to get this information.

meltdown spectre intelbug kernel internals cpu kaiser kpti

dll - Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

•    C++

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DLL is a library that aims to provide a C++ implementation of Restricted Boltzmann Machine (RBM) and Deep Belief Network (DBN) and their convolution versions as well. It also has support for some more standard neural networks. Note: When you clone the library, you need to clone the sub modules as well, using the --recursive option.

c-plus-plus cpp cpp11 cpp14 performance machine-learning deep-learning artificial-neural-networks gpu rbm cpu convolutional-neural-networks

osx-cpu-temp - Outputs current CPU temperature for OSX

•    C

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Outputs current CPU temperature in °C for OSX

osx temperature cpu-temperature sensors cpu

node-usage - process usage lookup with nodejs

•    Javascript

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But If you call usage.lookup() continuously for a given pid, you can turn on keepHistory flag and you'll get the CPU usage since last time you track the usage. This reflects the current CPU usage.

usage ps cpu ram memory

sympact - 🔥 Simple stupid CPU/MEM "Profiler" for your JS code.

•    Javascript

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🔥 An easy way to calculate the 'impact' of running a task in Node.JS Coded with ❤️ by Simone Primarosa. Sympact runs a script and profiles its execution time, CPU usage, and memory usage. Sympact then returns an execution report containing the averages of the results.

benchmark profile system impact memory cpu cli nodejs damage pid pids process usage resources benchmarking profiler profiling sys compute calculate impactjs processes isolation vm fork script task tree ram processor

chillout - Reduce CPU usage in JavaScript

•    Javascript

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Reduce JavaScript CPU usage by asynchronous iteration. Provides asynchronous iteration functions that have a Promise based interface and it can execute with low CPU usage. Each iteration adds delay if the processing is heavy to maintain the CPU stability. Iterate without delay if processing is fast. Therefore, it will realize friendly processing for your machine. It can execute JavaScript without "Warning: Unresponsive Script" alert in the browser.

cpu async promise iteration function-callback chillout iterator-functions benchmark array-iteration repeat ecmascript cpu-load iterate iterator setimmediate