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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
🔥 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.