20 projects for "cpu benchmark linux" with 2 filters applied:

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  • 1
    BenchmarkTools.jl

    BenchmarkTools.jl

    A benchmarking framework for the Julia language

    BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results. This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. Our story begins with two packages, "Benchmarks" and "BenchmarkTrackers". The Benchmarks package...
    Downloads: 3 This Week
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  • 2
    SIA

    SIA

    AI framework to autonomously improve the performance of any AI system

    SIA is a self-improving AI framework designed to improve the performance of models or agents on benchmark tasks. It uses an iterative loop where a meta-agent creates or updates a task-specific target agent, while a feedback agent studies results and proposes improvements. The framework can refine both the harness around the task and the agent implementation itself. It is aimed at research and experimentation across tasks such as machine learning benchmarks, legal classification, code...
    Downloads: 3 This Week
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  • 3
    Piscina

    Piscina

    A fast, efficient Node.js Worker Thread Pool implementation

    Piscina is a fast, efficient Node.js worker thread pool implementation, designed to perform heavy CPU-bound tasks in parallel, thereby improving application performance.
    Downloads: 2 This Week
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  • 4
    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive...
    Downloads: 0 This Week
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  • 5
    SDWebImageSwiftUI

    SDWebImageSwiftUI

    SwiftUI Image loading and Animation framework powered by SDWebImage

    SDWebImageSwiftUI is a SwiftUI image-loading framework, which is based on SDWebImage. It brings all your favorite features from SDWebImage, like async image loading, memory/disk caching, animated image playback and performances. The framework provide the different View structs, which API match the SwiftUI framework guideline. If you're familiar with Image, you'll find it easy to use WebImage and AnimatedImage. Since SDWebImageSwiftUI is built on top of SDWebImage, it provide both the...
    Downloads: 5 This Week
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  • 6
    Chipyard

    Chipyard

    An Agile RISC-V SoC Design Framework with in-order cores

    Chipyard is a framework and generator for constructing custom RISC‑V SoC hardware. Built at UC Berkeley, it leverages Chisel/FIRRTL to generate full-stack systems—from CPU cores to peripherals—and includes simulators, FPGA deployment tools, and integration with Rocket Chip and other RISC‑V ecosystems.
    Downloads: 0 This Week
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  • 7
    bitnet.cpp

    bitnet.cpp

    Official inference framework for 1-bit LLMs

    bitnet.cpp is the official open-source inference framework and ecosystem designed to enable ultra-efficient execution of 1-bit large language models (LLMs), which quantize most model parameters to ternary values (-1, 0, +1) while maintaining competitive performance with full-precision counterparts. At its core is bitnet.cpp, a highly optimized C++ backend that supports fast, low-memory inference on both CPUs and GPUs, enabling models such as BitNet b1.58 to run without requiring enormous...
    Downloads: 4 This Week
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  • 8
    Axe

    Axe

    Logger-agnostic wrapper that normalizes logs regardless of arg style

    Logger-agnostic wrapper that normalizes logs regardless of arg style. Great for large dev teams, old/new projects, and works w/Pino, Bunyan, Winston, console, and more. It is lightweight, performant, highly-configurable, and automatically adds OS, CPU, and Git information to your logs. Hooks, dot-notation remap, omit, and pick of metadata. Axe was built to provide consistency among development teams when it comes to logging. You not only have to worry about your development team using the...
    Downloads: 3 This Week
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  • 9
    TorchQuantum

    TorchQuantum

    A PyTorch-based framework for Quantum Classical Simulation

    A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing.
    Downloads: 2 This Week
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  • 10
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new...
    Downloads: 11 This Week
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  • 11
    MetalPetal

    MetalPetal

    A GPU accelerated image and video processing framework built on Metal

    MetalPetal is an image processing framework based on Metal designed to provide real-time processing for still images and video with easy-to-use programming interfaces. This chapter covers the key concepts of MetalPetal, and will help you to get a better understanding of its design, implementation, performance implications, and best practices. A MTIImage object is a representation of an image to be processed or produced. It does directly represent image bitmap data instead it has all the...
    Downloads: 1 This Week
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  • 12
    Mocha.jl

    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...
    Downloads: 0 This Week
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  • 13
    TRMSim-WSN
    TRMSim-WSN (Trust and Reputation Models Simulator for Wireless Sensor Networks) is a Java-based simulator aimed to test Trust and Reputation models for WSNs. It provides several Trust and Reputation models and new ones can be easily added.
    Downloads: 0 This Week
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  • 14
    MongoLantern - MongoDB Fulltext Search

    MongoLantern - MongoDB Fulltext Search

    Open Source MongoDB Fulltext Search Server

    MongoLantern is an open source full text search server using MongoDB as index storage, which allows MongoLantern to migrate any changes very easily into account using MongoDB API. It's written originally written in PHP can be migrated to any desired language as required using it's future APIs. MongoLantern 0.7 - Stable/Production Release: 1. MongoLantern API support enabled. 2. CSV indexer added as a plugin. 3. node.js API client added.
    Downloads: 0 This Week
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  • 15
    A fully automated database benchmark suite that prints tabular and graphic results for multiple tested disciplines, given JDBC database connections. Some free open source database engines are included.
    Downloads: 0 This Week
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  • 16
    IMPORTANT: This project is no longer maintained. All the effort is targeted on project Radargun: http://radargun.sourceforge.net
    Downloads: 0 This Week
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  • 17
    An open source framework for unit test and performance benchmark, initiated by Andrew Zhang. p-unit supports to run the same tests with single thread or multi-threads, tracks memory and time consumption, and generates the result as pdf/jpg/png/txt file.
    Downloads: 0 This Week
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  • 18
    AdaptiveCells J2EE generates test-beds for benchmarking J2EE performance. They consists of highly customizable EJB cells that can emulate CPU load, memory usage, memory leaks and exceptions. The behaviour of the cells is coordinated from a web front-end.
    Downloads: 0 This Week
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  • 19
    The ff asm lib is a collection of commonly used platform independent assembler functions.
    Downloads: 0 This Week
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  • 20
    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
    Downloads: 0 This Week
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