Search Results for "high performance computing"
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Showing 21 open source projects for "high performance computing"
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LoopVectorization.jl
Macro(s) for vectorizing loops
LoopVectorization.jl is a Julia package for accelerating numerical loops by automatically applying SIMD (Single Instruction, Multiple Data) vectorization and other low-level optimizations. It analyzes loops and generates highly efficient code that leverages CPU vector instructions, making it ideal for performance-critical computing in fields such as scientific computing, signal processing, and machine learning. -
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dperf
DPDK based 100Gbps network performance and load testing software
...Network performance testing for servers on cloud. Performance test of network package processing capability for NIC and CPU. Can be used as a high-performance HTTP server or client for load testing. -
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TimerOutputs.jl
Formatted output of timed sections in Julia
TimerOutputs.jl is a lightweight Julia package that provides a structured way to measure and report the execution time of different parts of code. It is particularly useful for performance profiling in scientific computing, allowing developers to annotate sections of code and generate readable timing summaries. TimerOutputs.jl supports nested timers and formatted output to both terminal and files, helping users easily identify bottlenecks in their programs. -
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Mitata
benchmark tooling that loves you
A high-performance JavaScript benchmarking tool designed for fast and accurate performance testing. -
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PM2
Node.js Production Process Manager with a built-in Load Balancer
...If you want battle-hardened Node.js applications that can be monitored and kept alive forever, PM2 is the way to go. PM2 lets you manage, maintain and increase Node.js performance. It is constantly assailed by over 1800 tests so you can deliver high quality applications, and deploy confidently and more often. PM2 is cross-platform and arguably the most widely-used process manager for Node.js with over 100 million downloads. Setting it up is easy, it just takes a couple of minutes and one simple command. -
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Hoverfly
Lightweight service virtualization/ API simulation / API mocking tool
Hoverfly is a lightweight, open source API simulation tool. Using Hoverfly, you can create realistic simulations of the APIs your application depends on. Replace unreliable test systems and restrictive API sandboxes with high-performance simulations in seconds. Run on MacOS, Windows or Linux, or use native Java or Python language bindings to get started quickly. Simulate API latency or failure when required by writing custom scripts in the language of your choice. -
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Ddosify
High-performance load testing tool, written in Golang
vLoad tests should be done regularly to avoid being caught unprepared. Find out the maximum service capacity of your web system. Start the test either instantly or for a future date. Define your periodic load tests. Without load tests, businesses understand the load capacity of their systems when they become inaccessible during campaign times such as Black Friday or Cyber Monday. Determine the origins of requests and the test duration with our easy-to-use web interfaces. Review past load... -
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Mimesis
High-performance fake data generator for Python
Mimesis is an open source high-performance fake data generator for Python, able to provide data for various purposes in various languages. It's currently the fastest fake data generator for Python, and supports many different data providers that can produce data related to people, food, transportation, internet and many more. Mimesis is really easy to use, with everything you need just an import away. -
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Puppeteer
Headless Chrome Node.js API
Puppeteer is a headless Node library that provides a high level API for controlling Chromium or Chrome over the DevTools protocol. It requires zero setup and comes bundled with the Chromium version most suited to it. Puppeteer is headless by default, making it fast to run. However, it can also be set to run full or non-headless Chrome or Chromium, simply set the headless option when launching a browser. Many of the things you can do manually in the browser, you can also do with Puppeteer... -
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10
cocoyaxi
A go-style coroutine library in C++11 and more
cocoyaxi (co for short), is an elegant and efficient cross-platform C++ base library. It contains a series of high-quality base components, such as a go-style coroutine, coroutine-based network programming framework, command line, and config file parser, high-performance log library, unit testing framework, JSON library, etc. co has implemented a go-style coroutine, which has the following features. Multi-thread scheduling, the default number of threads is the number of system CPU cores. ... -
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tabtoy
High performance tabular data exporter
High-performance tabular data export tool. Support Xlsx/CSV as mixed input of tabular data. Support JSON/Golang/C#/Java/Lua/binary source, data, and type output. Automatic cell data format checking, accurate to cell errors. Support predefined enumeration can use Chinese enumeration type. Support table splitting, support multi-person collaboration. -
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CAT
CAT is the basic component of the server project
CAT is a distributed application performance monitoring and alerting system that specializes in tracking request flows, exceptions, and metrics across microservice ecosystems. It offers real-time dashboards showing throughput, response times, error rates, and service dependency graphs to help operations and development collaborate on reliability issues. In addition to metrics, it enables tracing—propagating context across RPC boundaries so problems like latency spikes or failed calls can be... -
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Beego
Open source framework to build & develop applications in the Go way
Beego is an open source, high-performance web framework for building and developing applications in Go. Beego offers plenty of superb features, including RESTful support, MVC architecture, powerful built-in modules, intelligent routing and monitoring, plus Go-specific features like interfaces and struct embedding. Beego is very easy to use. Features like code hot compile, automated testing, as well as automated packing and deploying allow you to build your applications in a snap. ... -
14
AyeSpy
A performant visual regression testing tool
Aye Spy is a high-performance visual regression tool to catch UI regressions. Aye Spy takes inspiration from existing projects such as Wraith and BackstopJs. We have found visual regression testing to be one of the most effective ways to catch regressions. It's a great tool to have in your pipeline, but the current solutions on the market were missing one key component we felt was essential for a great developer experience performance. -
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benerator is a framework for creating realistic and valid high-volume test data, used for load and performance testing and showcase setup. Data is generated from an easily configurable metadata model and exported to databases, XML, CSV or flat files.
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A Java Web crawler: multi-threaded, scalable, with high performance, extensible and polite. It can be used to crawl and index any web or enterprise domain and is configurable through a XML configuration file.
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ApproxAdderLib
Library of Approximate Adders
We provide MATLAB and Verilog Models of GeAr, and previously proposed adders (ACA-I, ETAII, ACA-II and GDA) at http://sourceforge.net/projects/approxadderlib/ GeAr is a low latency Generic Accuracy Configurable Adder that provides a higher number of potential configurations compared to state-of-the-art approximate adders, thus enabling a high degree of flexibility and trade-off between performance and output quality. These MATALB and Verilog models can allow software programmer as well as hardware designers to evaluate their code and design. To the best of our knowledge, this is the first open-source library of approximate adders that facilitates reproducible comparisons and further research and development in this direction across various layers of design abstraction. ... -
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Java/C Comparative Benchmarks
Java and C Comparative Performance Benchmarks
A collection of software benchmarks developed to compare the performance of Java with C on identical code. No language libraries were used to avoid implementation differences. Some of the benchmarks are also implemented in Python and Scala. There are benchmarks for bit twiddling, numerical computing, data structure manipulation, concurrent computing, callouts to native libraries, and, graphics processing units (GPU) utilization. -
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A very high speed memory manager (aka malloc, aka heap manager), substantially faster than other fast malloc implementations tested (nedmalloc, tcmalloc, TBBMalloc, FastMM4) on small allocations in multithreaded scenarios. And some benchmarks for measuring heap performance.
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Tools, information, and practices for creating and operating dependable, complex, distributed, software-intensive systems. * Sense - Measure - Analyze - Respond - Optimize * Keywords: Performance Co-Pilot - PCP - PCPMon - Rjobd
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A generic java based distributed performance testing platform specifically for testing clustered or distributed applications and or frameworks. The framework itself is clustered and coordinated with www.terracotta.org
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