Search Results for "cpu benchmark linux" - Page 11
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Showing 512 open source projects for "cpu benchmark linux"
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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. -
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gradslam
gradslam is an open source differentiable dense SLAM library
gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation. However, learning representations... -
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorials and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, and metrics. Full transparency... -
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netstress is a client/server utility designed to stress & benchmark network activity of a given ethernet device or path using simulated (random) real world data and packet sizes instead of fixed data and packet sizes.
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EasyModbusTCP/UDP/RTU .NET
Modbus TCP, UDP and Modbus RTU client/server library
Modbus TCP, Modbus UDP and Modbus RTU client/server library for .NET Supports Function Codes: - Read Coils (FC1) - Read Discrete Inputs (FC2) - Read Holding Registers (FC3) - Read Input Registers (FC4) - Write Single Coil (FC5) - Write Single Register (FC6) - Write Multiple Coils (FC15) - Write Multiple Registers (FC16) V5.6: Upload lates version - This will probably the last version for .NET Framework 4.0 - The next Version will be based on new .NET5 and... -
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OpenResty SystemTap Toolkit
Real-time analysis and diagnostics tools for OpenResty
...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. Although the toolkit is no longer actively maintained—development has shifted to OpenResty XRay—it remains a valuable set of examples and utilities for advanced users of OpenResty and NGINX. -
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Sparse Attention
"Generating Long Sequences with Sparse Transformers" examples
Sparse Attention is OpenAI’s code release for the Sparse Transformer model, introduced in the paper Generating Long Sequences with Sparse Transformers. It explores how modifying the self-attention mechanism with sparse patterns can reduce the quadratic scaling of standard transformers, making it possible to model much longer sequences efficiently. The repository provides implementations of sparse attention layers, training code, and evaluation scripts for benchmark datasets. It highlights... -
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bangjago-emulator
bang jago emulator
Bang Jago Emulator is a simple cli application used for mobile development, where it functions as an android emulator, its function is more or less the same as Genymotion although not as good as Genymotion and I added some features that are not in Genymotion, such as connecting to USB Debugging and Wireless, for now only available for Windows users only, next time maybe I will make it for Mac OS and Linux versions. -
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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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exchange-core java
Ultra-fast matching engine written in Java based on LMAX Disruptor
Exchange-core is an open source market exchange core based on LMAX Disruptor, Eclipse Collections (ex. Goldman Sachs GS Collections), Real Logic Agrona, OpenHFT Chronicle-Wire, LZ4 Java, and Adaptive Radix Trees. HFT optimized. Priority is a limit-order-move operation mean latency (currently ~0.5µs). Cancel operation takes ~0.7µs, placing new order ~1.0µs. Pipelined multi-core processing (based on LMAX Disruptor): each CPU core is responsible for certain processing stage, user accounts... -
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UNMAINTAINED: Try https://github.com/pjoe/loadem instead This project aims to provide a tool for load testing web applications. The goal is a tool that is easy to use and provides near real-time performance measurements of the application under test which is very usefull during optimization.
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Graph Nets library
Build Graph Nets in Tensorflow
Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. This library implements the... -
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Yandex Tank
Load and performance benchmark tool
Yandex.Tank is an extensible open-source load testing tool for advanced Linux users which is especially good as a part of an automated load testing suite. Different load generators are supported. Evgeniy Mamchits' phantom is a very fast (100 000+ RPS) shooter written in C++ (default) JMeter is an extendable and widely known one. BFG is a Python-based generator that allows you to write your load scenarios in Python. Experimental Golang generator: pandora. Performance analytics backend... -
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GHC (Glasgow Haskell Compiler)
Mirror of the Glasgow Haskell Compiler
GHC (Glasgow Haskell Compiler) is the leading open-source compiler and interactive environment for the Haskell programming language, supporting the Haskell 2010 standard plus numerous language extensions. It compiles to native machine code (via LLVM or C), and includes the interactive GHCi REPL. For full information on building GHC, see the GHC Building Guide. Here follows a summary - if you get into trouble, the Building Guide has all the answers. For building library documentation, you'll... -
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Zopfli
Zopfli Compression Algorithm is a compression library
Zopfli is a compression library and command-line tool that produces exceptionally small DEFLATE, zlib, and gzip streams by spending more CPU time to search for better encodings. It keeps strict compatibility with the ubiquitous DEFLATE format, so outputs can be decompressed by any standard tool or browser. The encoder performs exhaustive block splitting and greedy but thorough match searching to shave extra bytes off assets, which is ideal for web content and firmware where size matters more... -
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UIWidgets
UIWidget is a Unity Package which helps developers to create apps
UIWidget is a Unity Package that helps developers to create, debug and deploy efficient, cross-platform Apps. UIWidgets is a plugin package for Unity Editor which helps developers to create, debug and deploy efficient, cross-platform Apps using the Unity Engine. UIWidgets is mainly derived from Flutter. However, taking advantage of the powerful Unity Engine, it offers developers many new features to improve their Apps as well as develop workflow significantly. Using the latest Unity... -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with... -
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List
An immutable list with unmatched performance and functional API
An immutable list with unmatched performance and a comprehensive functional API. List is a purely functional alternative to arrays. It is an implementation of a fast persistent sequence data structure. Compared to JavaScript Array List has three major benefits. List is immutable. This makes it safer and better suited for functional programming. It doesn't tempt you with an imperative API and accidental mutations won't be a source of bugs. Since List doesn't allow mutations it can be heavily... -
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benchm-ml
A benchmark of commonly used open source implementations
This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different... -
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Dopamine
Framework for prototyping of reinforcement learning algorithms
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important... -
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RefineNet
RefineNet: Multi-Path Refinement Networks
RefineNet is a MATLAB-based framework for semantic image segmentation and general dense prediction tasks. It implements the architecture presented in the CVPR 2017 paper RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation and its extended version published in TPAMI 2019. The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets. It provides trained models for datasets... -
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Hero
A handy, fast and powerful go template engine
Hero is a handy, fast and powerful go template engine, which pre-compiles the HTML templtes to go code. It has been used in a production environment in bthub.io. The function definition statement defines the function which represents a html file. The function defined should return one and only one parameter []byte. Extend statement states the parent template the current template extends. Include statement includes a sub-template to the current template. It works like #include in C++. Import... -
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GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. 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. ... -
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.NET Book
.NET Platform Architecture book (English, Chinese, Russian)
This book was thought as a full description of how .NET CLR and to some extent .NET Framework function. 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... -
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Omniglot
Omniglot data set for one-shot learning
This repository hosts the Omniglot dataset for one-shot learning, containing handwritten characters across multiple alphabets along with stroke data. It includes both MATLAB and Python starter scripts (e.g. demo.m, demo.py) to illustrate how to load the images and stroke sequences and run baseline experiments (such as classification by modified Hausdorff distance). The dataset provides both an image representation of each character and the time-ordered stroke coordinates ([x, y, t]) for each...
