Search Results for "cpu performance meter" - Page 12
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Showing 405 open source projects for "cpu performance meter"
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jetson-ffmpeg
ffmpeg support on jetson nano
jetson-ffmpeg is a specialized integration layer that enables FFmpeg to use hardware-accelerated encoding and decoding on NVIDIA Jetson devices through the L4T Multimedia API. It provides a bridge between FFmpeg and NVIDIA’s proprietary APIs, allowing developers to leverage on-device hardware encoders and decoders for improved performance. The project includes a library and patch system that modifies FFmpeg builds to enable NVMPI-based acceleration. This allows efficient processing of video streams on embedded systems without overloading CPU resources. jetson-ffmpeg is particularly useful for edge computing applications such as robotics, surveillance, and real-time streaming. ... -
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speedtest-cli
Command line interface for testing internet bandwidth using speedtest
Command line interface for testing internet bandwidth using speedtest.net. It is not a goal of this application to be a reliable latency reporting tool. Latency reported by this tool should not be relied on as a value indicative of ICMP style latency. It is a relative value used for determining the lowest latency server for performing the actual speed test against. Speedtest CLI brings the trusted technology and global server network behind Speedtest to the command line. Measure internet... -
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Live Transcribe Speech Engine
Live Transcribe is an Android application
Live Transcribe Speech Engine provides on-device speech recognition components that power real-time transcription for accessibility and everyday voice-first experiences. Its design prioritizes latency and robustness in noisy, far-field environments, enabling continuous transcription with low delay on mobile hardware. The engine manages audio front-end processing—such as noise suppression and voice activity detection—before feeding audio into compact, accurate acoustic and language models.... -
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sc
Common libraries and data structures for C
Portable, stand-alone C libraries and data structures. Each folder is stand-alone with a single header/source pair in it. There is no build for libraries, just copy files you want. e.g If you want the logger, copy sc_log.h and sc_log.c to your project. High performance & minimal memory usage. Portability between many operating systems and architectures. Tests with 100% branch coverage and multiple sanitizers. Drag & drop source code distribution. There is 100% branch coverage on Linux.... -
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Arduino HomeKit ESP8266
Native Apple HomeKit accessory implementation for the ESP8266 Arduino
...This library is built with ESP8266 Arduino Core 2.6.3. 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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Mi A1: LuciferKernel
Linux 4.9 Kernel for Xiaomi Mi A1 aka Tissot
Join official telegram group: https://t.me/luciferkernel Kernel stage Changed to Beta. Features: →Added F2FS Rapid Gc. → CPU OC to 3.1Mhz (OC Build Only) → GPU OC to 850Mhz (OC Build Only) → Reduced GPU idle time to 64ms → Added DTS-Eagle. → CPU undervolted upto 10% → Improved thermals. → Added Sound tweaks. → Added Boeffla Wakelocker → Added State Notifier → Added Adreno Idler → Added Adreno Boost → Added dynamic SchedTune boost. → Added Klapse → Added KCAL → Added BFQ I/O scheduler →Upstreamed to 4.9.232 →Added gcam7+ support (experimental) thanks to @mtpiplod →Fixed certain errors →Built with Proton Clang 12 For Non-OC except Overclocked CPU , GPU and some performance schedulers everything is same -
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wrk
Modern HTTP benchmarking tool
wrk is a modern, command-line HTTP benchmarking tool engineered for high performance, capable of generating substantial load using a single multi-core CPU by leveraging multithreading and scalable event notification systems. An optional LuaJIT script can perform HTTP request generation, response processing, and custom reporting. Details are available in SCRIPTING and several examples are located in scripts. The machine running wrk must have a sufficient number of ephemeral ports available and closed sockets should be recycled quickly. ... -
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ATOM-X-KERNEL EAS
ATOM-X-KERNEL EAS KERNEL
AtomX kernel always aims best performance and battery backup balance on a certain SoC and device . -
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TurboTransformers
Fast and user-friendly runtime for transformer inference
TurboTransformers is a high-performance inference framework optimized for running Transformer models efficiently on CPUs and GPUs. It improves latency and throughput for NLP applications. -
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progrep
Utility to show live progress, status & stats for running simulations
progrep is a command-line tool (Linux) to show live progress report, status & stats of a running simulation or compute job that executes a given number of iterations. It shows % completed, time remaining, time elapsed, number of threads, MPI_Rank(if any), CPU usage & speed (FPS). The FPS measures may be used in benchmarking, e.g. while optimizing HPC algorithms for performance. progrep supports both single-threaded and parallel (multicore/multinode - e.g. OpenMP/MPI) jobs. progrep can also report for jobs running on remote hosts, e.g. jobs running on Linux Clusters. progrep works in client-server model. ... -
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A simple program to boost your machine's performance by freeing up some CPU and RAM by ending processes that are unneeded for gaming.
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3DDFA
Fast, accurate and stable 3D dense face alignment
...The gif above shows a webcam demo of the tracking result, in the scenario of my lab. This repo is the official implementation of 3DDFA_V2. Compared to 3DDFA, 3DDFA_V2 achieves better performance and stability. Besides, 3DDFA_V2 incorporates the fast face detector FaceBoxes instead of Dlib. A simple 3D render written by c++ and cython is also included. This repo supports the onnxruntime, and the latency of regressing 3DMM parameters using the default backbone is about 1.35ms/image on CPU with a single image as input. See requirements.txt, tested on macOS and Linux platforms. ... -
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OpenResty SystemTap Toolkit
Real-time analysis and diagnostics tools for OpenResty
The openresty-systemtap-toolkit is a collection of SystemTap-based scripts designed for real-time analysis and diagnostics of OpenResty and its core components, including NGINX, LuaJIT, and ngx_lua. It provides developers and system administrators with tools to trace performance bottlenecks, memory usage, request distribution, regex execution, Lua execution, and file I/O behaviors in production systems. The toolkit helps identify leaks, analyze TCP queues, inspect shared memory usage, and generate flame graphs for CPU and off-CPU profiling. Many scripts are specific to NGINX worker and master processes, while others are generic enough to be applied to any Linux user-space process. ... -
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Dark_Ages
custom kernel for vince
designed for better battery backup without compromising much on the performance side -
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collectd
The system statistics collection daemon
collectd is a system information collection daemon designed to gather performance and operational metrics from computers, servers, and networked environments. It periodically collects data such as CPU usage, memory utilization, disk activity, network traffic, system load, hardware sensor readings, and application statistics. The platform supports a large plugin ecosystem, allowing it to monitor services like Apache, Nginx, MySQL, PostgreSQL, Redis, SNMP devices, virtual machines, and many other systems. ... -
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BPF Performance Tools
Official repository for the BPF Performance Tools book
BPF Performance Tools Book is the companion repository for Brendan Gregg’s book on Linux performance analysis using eBPF and BCC tracing technologies. The project contains scripts, examples, and reference material that demonstrate how to inspect kernel behavior, application performance, CPU usage, networking activity, file systems, and system bottlenecks in real time. -
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Amethyst Game Engine
Data-oriented and data-driven game engine written in Rust
Data-driven game engine written in Rust. Amethyst uses a rigorous Entity Component System (ECS) architecture to organize game logic. This abstracts away some of the parallelism work, allowing easier exploitation of multi-threading in games. The ECS is rich in features and very efficient, as it never does any memory locking while remaining entirely thread-safe. Amethyst uses gfx-rs to render graphics with Vulkan or Metal. It is meant to be used for 2D and 3D, with various utilities for both... -
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*/ Fiency - Kernel */ Supported Android Version : > Only Android Q for now. There are 2 Variants Refresh Rate : > 60Hz > 65Hz (Only Amenotejikara) > noMI : CPU 1.9Ghz, GPU 585Mhz, Undervolted < For Battery Backup > > KatamaRi : CPU 2.2Ghz, GPU 585Mhz, as usual < Daily Use> > AmenoteJikara : CPU 2.2Ghz, GPU 900Mhz < For Better Performance > #TeamFiency
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CUDAnative.jl
Julia support for native CUDA programming
The programming support for NVIDIA GPUs in Julia is provided by the CUDA.jl package. It is built on the CUDA toolkit and aims to be as full-featured and offer the same performance as CUDA C. The toolchain is mature, has been under development since 2014, and can easily be installed on any current version of Julia using the integrated package manager. -
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RMGDFT
Real Space Multigrid based electronic structure code.
...Designed for scaleability it has been run successfully on systems with thousands of nodes and hundreds of thousands of CPU cores. It is currently under active development and contributions are gladly accepted. -
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Phoenix LiveDashboard
Realtime dashboard with metrics, request logging, plus storage, OS
Phoenix LiveDashboard is an interactive monitoring and debugging tool for Elixir applications, integrated directly into Phoenix. It offers real-time insights into system metrics such as memory, CPU, and process activity, as well as introspection of applications, supervision trees, and running processes. Built on top of Phoenix LiveView, it updates dashboards live without requiring page reloads. Developers can drill into request logs, Ecto queries, and telemetry events to diagnose performance issues. It also supports extensibility, allowing custom metrics and panels to be added for application-specific monitoring. ... -
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sysbench
Scriptable database and system performance benchmark
sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. It is most frequently used for database benchmarks, but can also be used to create arbitrarily complex workloads that do not involve a database server. extensive statistics about rate and latency is available, including latency percentiles and histograms. Low overhead even with thousands of concurrent threads. sysbench is capable of generating and tracking hundreds of millions of events per second. New benchmarks can be... -
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Alive Kernel 10 Revolution Alive Kernel 9 (Discontinue) :(( I think soon i will make for pie again... •Feature On Alive Kernel• -Based on caf kernel linux Stable -Merged with new tag caf latest -OC to 2.2Ghz -Battre Friedly -Better Performance -Add more governor ~Nightmare ~Darknessv5 ~Alucard ~and more -Undervolt Cpu Gpu -80mV -Add Cpu Bost Control and More Control -Add Cpu hotplug -Add Gpu boost -Add New battery Calculation -Add Fast Charging and On/Off Charging -Add Sound Control -Add Kcal Support and more option -Add I/O Tweak and more scheduler -Lmk Optimize (4/6Gb Ram varian) -Add Boeffla Wakelocks -Add WireGuard -Optimize Zram for battery saving -Tcp Algorithm Optimize -Much More
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imgaug
Image augmentation for machine learning experiments
imgaug is a library for image augmentation in machine learning experiments. It supports a wide range of augmentation techniques, allows to easily combine these and to execute them in random order or on multiple CPU cores, has a simple yet powerful stochastic interface and can not only augment images but also key points/landmarks, bounding boxes, heatmaps and segmentation maps. Affine transformations, perspective transformations, contrast changes, gaussian noise, dropout of regions,... -
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Bangla TTS
Bangla text to speech synthesis in python
Bangla text to speech Multilingual (Bangla, English) real-time ([almost] in a GPU) speech synthesis library. Installation -------------------------------------- * Install Anaconda * conda create -n new_virtual_env python==3.6.8 * conda activate new_virtual_env * pip install -r requirements.txt * While running for the first time, keep your internet connection on to download the weights of the speech synthesis models (>500 MB) * For...
