Search Results for "cpu power"
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Showing 15 open source projects for "cpu power"
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CPU Features
A cross platform C99 library to get cpu features at runtime
cpu_features is a cross-platform C library developed by Google that provides a simple and efficient way to detect available CPU features at runtime across a wide range of architectures and operating systems. It enables applications to determine which instruction sets (such as SSE, AVX, or NEON) are supported on the host machine, allowing developers to optimize performance dynamically. The library supports numerous architectures—including x86, ARM, AArch64, MIPS, POWER, RISCV, LoongArch, and s390x—and works on major operating systems like Linux, macOS, Windows, FreeBSD, Android, and iOS. ... -
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WeakAuras
World of Warcraft addon that provides a powerful framework
WeakAuras is a powerful and flexible framework that allows the display of highly customizable graphics on World of Warcraft's user interface to indicate buffs, debuffs, and other relevant information. This addon was created to be a lightweight replacement for Power Auras but has since introduced more functionalities while remaining efficient and easy to use. An intuitive and powerful configuration interface. Custom textures including all textures from Power Auras and Blizzard's spell alerts. Progress bars and textures that show the exact duration of auras. Displays based on auras, health, power (mana, rage, soul shards, holy power, etc.), cooldowns, combat events, runes, totems, items, and many other triggers. ... -
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OpenBLAS
Optimized BLAS library based on GotoBLAS2 1.13 BSD version
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version. The BLAS (Basic Linear Algebra Subprograms) are routines that provide standard building blocks for performing basic vector and matrix operations. The Level 1 BLAS performs scalar, vector and vector-vector operations, the Level 2 BLAS performs matrix-vector operations, and the Level 3 BLAS performs matrix-matrix operations. Because the BLAS are efficient, portable, and widely available, they are commonly used in the... -
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Perfetto
Production-grade client-side tracing, profiling, and analysis
...It’s designed around a low-overhead producer/consumer model: instrumented components (“producers”) write binary events into shared memory buffers and a collector (“service”) reliably streams them to storage. The data model spans kernel and userspace, so you can stitch together CPU scheduling, app lifecycles, binder/IPC hops, GPU work, power and thermal signals, file I/O, heap samples, and more into a single coherent timeline. Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. ... -
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UIforETW
User interface for recording and managing ETW traces
UIforETW is a Windows performance tracing companion that wraps the Event Tracing for Windows (ETW) toolchain in an approachable GUI. It standardizes trace collection profiles, launches WPR/xperf with the right providers, and organizes the resulting .etl files for repeatable investigations. The tool streamlines the entire loop—record, annotate, open in WPA/XperfView—so engineers can focus on finding scheduling stalls, I/O bottlenecks, GC pauses, or GPU hitches instead of memorizing... -
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AIMET
AIMET is a library that provides advanced quantization and compression
Qualcomm Innovation Center (QuIC) is at the forefront of enabling low-power inference at the edge through its pioneering model-efficiency research. QuIC has a mission to help migrate the ecosystem toward fixed-point inference. With this goal, QuIC presents the AI Model Efficiency Toolkit (AIMET) - a library that provides advanced quantization and compression techniques for trained neural network models. -
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PI-Based Image Encoder / Converter
Python code able to convert / compress image to PI (3.14, π) Indexes
...ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! Power Management set as High Performance .. in Balanced is slow) -
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Tableau
A lightweight macOS photo widget that never crops your images.
...You can point it to a folder to cycle through images with GPU-accelerated fades, and it will independently remember the exact size and position for every individual photo. For power users, Tableau offers a unique Click-Through mode. You can pin a photo above your active windows and lock it so your mouse clicks pass right through it. If you need to move it, simply holding the Option key makes it interactive again. Built with an ultra-efficient SwiftUI engine, it consumes almost zero idle CPU. -
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes... -
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KleOS
KleOS brings together Arduino, FreeRTOS and Arduino-mk to you.
...Arduino is the opposite to real time; however, so many real world applications need to react to internal and external events in real time, e.g. as fast as possible, even seizing the CPU from the code that is currently executing. FreeRTOS is the glorious tool behind getting such behaviour. And as you become an Arduino power user you find the IDE too clumsy, so why don't you compile your way (e.g. in the terminal) using your preferred source code editor? Arduino-mk is the glorious tool behind this behaviour. -
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heim
Cross-platform async library for system information fetching
Heim is a cross-platform system monitoring library written in Rust, providing real-time metrics for CPU, memory, and other resources. -
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Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform... -
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MSP430-Ada
Ada compiler support for TI MSP430 processors
Compiler and device support for Ada programs on the ultra-low-power TI MSP430 microcontrollers. This project builds on the Gnu Gnat/GCC Ada compiler, the Sourceforge mspgcc back-end and MSP430 CPU support. It was inspired by the Sourceforge AVR-Ada project. -
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Library which allows developper to access the hardware features of GP2X (personal entertainment player created by a Korean company: GPH). Software emulation is provided on PC through SDL.
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This project is a Neural Network Training Library implemented on CUDA. It's compatible with the most used libraries but allows to exploit the full power of NVIDIA graphic cards. Experimental results show speed ups over 100 times against CPU libraries
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