Search Results for "cpu high monitor" - Page 4
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Showing 97 open source projects for "cpu high monitor"
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Graph Nets library
Build Graph Nets in Tensorflow
...Graph Nets supports both TensorFlow 1 and TensorFlow 2, working with CPU and GPU environments, and includes educational Jupyter demos for shortest path finding, sorting, and physical prediction tasks. The codebase emphasizes modularity, allowing users to easily define their own edge, node, and global update functions. -
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GraalVM
Run programs faster anywhere
GraalVM is a high-performance multilingual runtime. It is designed to accelerate the execution of applications written in Java and other JVM languages while also providing runtimes for JavaScript, Ruby, Python, etc. Increase application throughput and reduce latency. Compile applications into small self-contained native binaries. Seamlessly use multiple languages and libraries. -
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12306 Ticket Buying Assistant
12306 Smart ticket swiping, ticket booking
12306 is an automation and ticket-purchasing tool designed to interact with China’s official railway booking system, providing users with a programmatic way to search, reserve, and purchase train tickets. The project replicates the workflow of the official platform while adding automation features that help users secure tickets in high-demand scenarios. It supports querying schedules, checking seat availability, and performing booking actions through scripts, which reduces the need for manual interaction. The system is particularly useful during peak travel periods when tickets sell out quickly, as it can continuously monitor availability and attempt purchases automatically. ... -
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.NET Book
.NET Platform Architecture book (English, Chinese, Russian)
...I tried to draw the reader's attention to their internals from a different, unusual point of view. Primarily, it is caused by the statement, quite disputable, that any software developer must know C/C++. Why? The reason is that among all high-level languages these are the nearest to the CPU, and if you build your program in these languages you feel better about how it runs. However, our world looks different than we expect and we often have no time to learn things we won't use; that's why I decided to write this book where issues are explained deeper than usual and with a more intricate or alternative example. ... -
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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. -
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FIND
High-precision indoor positioning framework for most wifi devices
Automate turning on lights with FIND by tracking the position of your phone indoorswith the FIND app. Track the location your laptop or embedded device in a small space using the FIND API. Monitor the location of many devices in a vicinity simultaneously using passive scanning. FIND attempts to simplify internal positioning. Internal positioning, simplified Using FIND, and only your smartphone or laptop, you will be able to pinpoint your position in your home or office. Unlike GPS on your... -
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JILRuntime/JewelScript
An object-oriented script language to embed in any application
A general purpose, object-oriented script language that compiles into code for a register based virtual machine. The language is quite similar to object-oriented high-level languages like Java and C#. The library is entirely self-sufficient and ANSI C compliant. It's main purpose is to be embedded in any application to allow automation of that application through scripting. An integrated C++ binding code generator allows you to create bindings for your application's classes in seconds.... -
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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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Kitto
Kitto is a framework for interactive dashboards written in Elixir
...Jobs are supervised processes running concurrently. Widgets are coded in the popular React library. Uses a modern asset tool-chain, Webpack. Allows streaming SSE to numerous clients concurrently with low memory/CPU footprint. Easy to deploy using the provided Docker images, Heroku (guide) or Distillery (guide). Can serve assets in production. Keeps stats about defined jobs and comes with a dashboard to monitor them (demo). Can apply exponential back-offs to failing jobs. Reloads code upon change in development. Kitto is a framework to help you create dashboards, written in Elixir / React. ... -
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WebGL Heatmap
A high performance WebGL/JS heatmap display library
webgl-heatmap is a browser-side rendering library that uses the GPU via WebGL to draw smooth, continuous heatmaps from large numbers of data points. Instead of relying on CPU-bound canvas operations, it leverages fragment shaders and additive blending to accumulate intensity and colorize results in real time. The API lets you push points or weighted samples into a buffer and then renders a gradient map where hot areas emerge organically from density rather than discrete markers. Because most... -
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MXLib is a C++ wrapper around the Intel® Integrated Performance Primitives (IPP) library and NVidia NPP CUDA library. You can use either IPP code (or a subset of functions that do not require IPP) on the CPU side, or use NPP/CUDA on the GPU side, or use both together. The function syntax is similar to that found in MatLab and the library is designed to make it easy to port your code from MatLab to C++. The idea is to provide Scientists, Engineers, Researchers and other non full-time programmers an easy to use, high performance library of functions.
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q pipeline manager
q: integrated platform for pipeline configuration and management
The q utility is a platform for creating and managing data analysis pipelines. It expands the value of your existing job scheduler - either Grid Engine or TORQUE PBS - through numerous functions that help you organize, submit, monitor, manage and share your informatics work. Data processing pipelines require high-level organization and parallelization of work to optimize resource utilization and decrease the time to results. q (from queue) allows complex job sequences to be efficiently assembled and managed, including dependency tracking, parallelization, and pipeline-level monitoring, error recovery, and data protection. ... -
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File system/directory monitoring utilities with loggin and task processing support (can execute files or make a WCF service call). Multiple configuration options. Source code libraries can be used to create a custom file system monitor.
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SarBox
SarBox helps user to parse or analyze sar data
The software program (SarBox) parses and analyzes SAR data in charts or text formats. SAR is cumulative activity counters in the operating system. It is the most comprehensive command which helps to monitor performance of various Linux / Solaris subsystems (CPU, Memory, I/O, Disk, Network, etc) all in same log. This makes it difficult to analyze since every counter data is dumped into the log file. SarBox helps to analyze this log file and present data in graphical charts or text format. To collect sar statistics from an environment, use below syntax [user@host ~]# sar -A 30 2 > sar_linux.log “30 2” reports for every 30 seconds and total of 2 times, written in sar_linux.log. -
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jLlama is a desktop application to monitor servers over SSH. Any figure retrieved from the command line can be polled and graphed in real time. Out of the box, jLlama can graph CPU and Memory usage for Linux and Solaris servers.
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Model-based development environment for embedded projects. Features a clean and advanced language designed for embedded programming.
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Brook+ is a high level C-like language with extensions for stream programming on different compute devices such as CPUs and GPUs. Supports an ATI CAL and x86 CPU backend. Keywords : GPGPU, GPU Computing, HPC
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Eclipse System Monitor is an Eclipse Plugin that provides information about performance of the host on which Eclipse runs. It is unobtrusive but yet visible enough to watch system performance from the corner of one's eye. More on project webpage ...
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cvsbackup is a perl-based tool for backuping your files and sending diffs via e-mail. package also includes scheduler (optional) which helps you monitor more than 1-2 servers (helps to prevent high loads on config repository).
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System monitoring utility, written in plain C. Allows application execution and performance monitoring, saving results into XML files. Monitors CPU, memory, network and disk usage on a per-application or per-system basis.
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Software written in Perl to monitor CPU load more effectively than top in batch mode, or a glance at load avg. Stores data in a mysql database (if you want) and provides a number of 'front ends' allowing you to pull graphs or spreadsheets out of the db.
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