Search Results for "cpu performance meter" - Page 16
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Showing 516 open source projects for "cpu performance meter"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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GPUImage 2
Framework for GPU-accelerated video and image processing
...The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS. -
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Zucc Kornel
A Kernel for Android
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cpuplot
Command Line profiler of CPU usage
cpuplot Command Line Profiler of CPU Usage and Load Average. Synopsis: BASH script that shows the history of CPU usage, and what procces uses the most CPU at a given time. Bar graphs represent the percentage of Total CPU Usage, and the percentage of Total 1 Minute Load Average. Default wait interval between system readings is 5secs. But a different one can be set in the command line with the "-i" argument. Default output is formatted for the standard console width of 80... -
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Simd
High performance image processing library in C++
The Simd Library is a free open source image processing library, designed for C and C++ programmers. It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network. The algorithms are optimized with using of different SIMD CPU extensions. -
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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face-recognition.js
Simple Node.js package for robust face detection and face recognition
...Synchronous and Promise-based asynchronous methods support different application designs, while OpenCV integration enables additional image processing. OpenBLAS can improve CPU performance when the native dependency is compiled with it. The project is now considered obsolete by its author, who recommends face-api.js for equivalent browser and Node.js functionality. -
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PumpedUp
Performance monitoring and logging software for Linux and Windows.
PumpedUp gathers system performance data on a second by second basis and creates real time or static graphical web pages. It can quickly point out maximized resources on a system. It also has options for sending data to Redis / Logstash for analysis, or Nagios for alarming. PumpedUp runs an insecure web server on port 8080 by default and requires you to provide your own security for that port. You can disable this functionality by editing the PumpedUp configuration file. After... -
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RpiOptimisation
Performance optimization tool for Raspberry Pi.
Support : [Raspberry Pi 0-1-2-3] [EN] Performance optimization tool for Raspberry Pi (CPU,GPU,SD card read and write speed) by model. [FR] Outil d'optimisation des performances pour Raspberry Pi (CPU, GPU, vitesse de lecture et d'écriture de la carte SD) par modèle. -
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Fedora Kernel Netbook
Linux Kernel optimized for Intel Atom CPU on Fedora
Linux Kernel compiled for Netbook (Intel Atom CPU) for Fedora distribution get Performance. https://github.com/lozanotux/fedora-kernel-netbook -
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Napa.js
Napa.js, a multi-threaded JavaScript runtime
Napa.js is a multi-threaded JavaScript runtime built on V8, which was originally designed to develop highly iterative services with non-compromised performance in Bing. As it evolves, we find it useful to complement Node.js in CPU-bound tasks, with the capability of executing JavaScript in multiple V8 isolates and communicating between them. Napa.js is exposed as a Node.js module, while it can also be embedded in a host process without Node.js dependency. Multi-threaded JavaScript runtime. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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TCPCopy
An online request replication tool, also a tcp stream replay tool
TCPCopy is a TCP stream replay tool to support real testing of Internet server applications. Although the real live flow is important for the test of Internet server applications, it is hard to simulate it as online environments are too complex. To support more realistic testing of Internet server applications, we develop a live flow reproduction tool - TCPCopy, which could generate the test workload that is similar to the production workload. Currently, TCPCopy has been widely used by... -
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Java app. to utilise (waste) as much CPU as it can. The application allows the user to create multiple Java threads, each performing a CPU-intensive task tasks with a selectable memory footprint. The options let you 'thrash' the aspect you want.
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Mocha.jl
Deep Learning framework for Julia
Mocha.jl is a deep learning framework for Julia, inspired by the C++ Caffe framework. It offers efficient implementations of gradient descent solvers and common neural network layers, supports optional unsupervised pre-training, and allows switching to a GPU backend for accelerated performance. The development of Mocha.jl happens in relative early days of Julia. Now that both Julia and the ecosystem has evolved significantly, and with some exciting new tech such as writing GPU kernels... -
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GT
Debugging tool for bug hunting and performance tuning on smartphones
GT (Great Tit) is a portable debugging tool for bug hunting and performance tuning on smartphones anytime and anywhere just as listening music with Walkman. GT can act as the Integrated Debug Environment by directly running on smartphones. With the help of GT, you can carry out the following jobs only using one smartphone: quick performance tests (CPU, memory, flow, power, fluency tests etc.), viewing developer log and crash log, capturing the network packets, debugging the APP internal parameters and code time-consuming statistics. ... -
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Bullet
JVM Bullet Physics SDK
...A high-end desktop GPU, such as an AMD Radeon 7970 or NVIDIA GTX 680 or better. We succesfully tested the software under Windows, Linux and Mac OSX. The software currently doesn't work on OpenCL CPU devices. It might run on a laptop GPU but performance will not likely be very good. Note that often an OpenCL drivers fails to compile a kernel. Some unit tests exist to track down the issue, but more work is required to cover all OpenCL kernels. -
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swarmprom
Docker Swarm instrumentation with Prometheus, Grafana, cAdvisor
...It collects host, container, and Docker daemon metrics through Node Exporter, cAdvisor, and a dedicated daemon exporter. Grafana dashboards display cluster capacity, node health, service tasks, CPU, memory, storage, network traffic, I/O, and Prometheus performance. Alertmanager distributes alerts, Unsee provides an alert dashboard, and optional Slack settings deliver notifications to a channel. Global services and Docker DNS discovery automatically cover exporter instances added with new nodes. The project is intended as a foundation that teams can extend and harden for their own production environments. -
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Simple program that displays information about CUDA-enabled devices. The program is equipped with GPU performance test.
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ptbench
CPU and RAM stressing and monitoring
This package provides you 2 C++ applications to stress and monitor your CPU and RAM under Linux. Find a lack of performance (not enough cores/threads or too little clock speed) and memory/resource leaks or a lack of RAM. -
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JPFPSStatus
Show FPS Status on StatusBar
JPFPSStatus is a simple and lightweight tool that displays the frames per second (FPS) of an iOS app in real-time. Designed for performance debugging and optimization, it provides a floating overlay that shows the current FPS, helping developers monitor app responsiveness and rendering performance. -
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"Slow CPU" Emulator
Slows down any given Windows process (written in C#)
"Slow CPU" Emulator is useful for slowing down games, testing how applications deal with lag, and/or reducing the overall CPU usage of a specified process. Simply tell the emulator the update interval and speed percentage, and witness your application slowing down to the specified speed live! The code is written in C# for Windows and is extremely robust, flexible and stable, and has been tested very thoroughly. I apologise in advance for the code not being very readable, sometimes... -
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GoS stand for Guarantee of SLA (service level aggrement) that provides required block I/O performance for virtual machines. In GoS, CPU and I/O scheduler are managed by SLA manager that translates configured SLA from administrator to required performance value. Also, SLA manager determines whether SLA is violated from the collected statistics. In case of SLA violation, SLA manager modifies scheduling parameter of CPU and I/O scheduler.
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NNVM
Open deep learning compiler stack for cpu, gpu
The vision of the Apache NNVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. Compilation of deep learning models into minimum deployable modules. Infrastructure to automatically generates and optimize models on more backend with better performance.... -
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Skinner
Special Effects with Skinned Mesh in Unity
Skinner is a collection of real-time special effects for Unity that use vertices of an animating skinned mesh as emission points. Instead of duplicating mesh data on the CPU, it employs a replacement shader to stream vertex positions into GPU-friendly buffers, conserving memory and CPU cycles. With those GPU-side buffers, Skinner can drive effects like trails, particles, or geometry that react to the underlying skinned animation in sophisticated ways. The approach enables complex, performant... -
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RPi-Monitor
Real time monitoring for embedded devices
RPi-Monitor is a software designed to monitor the metrics from GNU/Linux systems and connected peripherals. It stores statistics in the local Round Robin Database and embeds a web server allowing it to display current status and statistics. -
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NiceHash Miner
NiceHash easy to use CPU & GPU miner
NiceHash Miner is an easy to use CPU & GPU cryptocurrency miner for Windows. With a simple an intuitive graphical user interface it allows you to quickly turn your PC, workstation or server into money-making cryptocurrency mining machine. Why leave your computer idle, whereas it could earn you Bitcoins with just a few clicks? NiceHash Miner is essentially the only tool a miner needs. -
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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...
