Search Results for "gpu max performance" - Page 14
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Showing 388 open source projects for "gpu max performance"
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darc
Durham Adaptive-optics Real-time Controller
darc, the Durham Adaptive optics Real-time Controller. For documentation or darctalk client only, select "View all files". For the latest bleeding-edge version, please use: git clone git://git.code.sf.net/p/darc2/code darc (no password required) (this changed May 2013 due to a sourceforge update). If you use darc, please cite with: Basden, A and Myers, R, MNRAS Vol 242, page 1483, 2012 -
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Bullet
JVM Bullet Physics SDK
Bullet is real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. Jvm port of Bullet, by Erwin Coumans. Take a look at the tests to see what has been ported and tested to be working. 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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Deeplearning-papernotes
Summaries and notes on Deep Learning research papers
Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract informative features, and a final softmax classifier to distinguish between target classes. ... -
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PixelFlow
A Processing/Java library for high performance GPU-Computing (GLSL)
PixelFlow is a Processing library focused on advanced graphics and visual effects, offering an extensive suite of GPU-based tools for visual artists, researchers, and creative coders. It enables real-time simulation and rendering of complex effects such as fluid dynamics, reaction-diffusion systems, soft shadows, and more, all powered by GLSL shaders. Its modular structure allows for chaining and composing various visual effects easily, making it ideal for installations, performances, and... -
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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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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. ... -
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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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flump
Exports Flash .FLAs to GPU-friendly formats
Flump is a toolchain for converting Flash timeline animations into lightweight runtime formats suitable for games. It allows artists to design animations in Adobe Flash (now Animate) and export them for playback in game engines using ActionScript, Java, or other runtimes. This helps maintain smooth vector animations with minimal performance cost, particularly for mobile and web games. -
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SoAx
Structure of Arrays of multiple types
Structures of arrays (SoA) are generally faster than arrays of structures (AoS) while AoS are more handy. This project (SoAx) combines the advantages of both. By means of C++(11) meta-template programming SoAx achieves maximal performance (efficient use of vector units and cache of modern CPUs) while providing a very convenient user interface (including object-oriented element handling) and flexibility. It has been designed to handle list-like sets of particles (similar to struct {int id;... -
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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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GPU Machine Learning Library. This library aims to provide machine learning researchers and practitioners with a high performance library by taking advantage of the GPU enormous computational power. The library is developed in C++ and CUDA.
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Starling Extension Graphics
flash.display.Graphics style extension for the Starling Flash GPU
Starling-Extension-Graphics is an extension for the Starling framework (which itself is a GPU-accelerated 2D framework for Flash/AIR via Stage3D). This extension adds graphics primitives (fills, strokes, planes etc.) that mimic flash.display.Graphics-style drawing but implemented in a GPU-friendly manner. It automatically triangulates vector shapes, letting developers use familiar drawing APIs but get performance benefits of GPU rendering via Starling. ... -
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Nifty Sim is a high-performance nonlinear finite element solver, developed at University College London. A key feature is the option of GPU-based execution, which allows the solver to significantly out-perform equivalent commercial packages.
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FFmpeg Docker image
Docker build for FFmpeg on Ubuntu / Alpine / Centos / Scratch
FFmpeg Docker image is a collection of Docker images that provide prebuilt FFmpeg environments for media processing, encoding, and streaming tasks. The project compiles FFmpeg from source and packages it with various configurations and dependencies, enabling users to run FFmpeg without installing it directly on their systems. It supports multiple base operating systems such as Ubuntu, Alpine, and CentOS, offering flexibility depending on deployment needs. The images are designed for... -
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Functy
Functy is a 3D graph drawing package that generates immediate results.
...It allows Cartesian, spherical and parametric curve functions to be plotted and altered quickly and easily. This immediacy and the vivid results promote fun exploration of 3D function. Rendering is performed entirely on the GPU to improve visuals and performance. Ubuntu functy PPA: https://launchpad.net/~flypig/+archive/ubuntu/ppa -
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cphcttoolbox
Cph CT Toolbox is a selection of Computed Tomography tools
Copenhagen Computed Tomography Toolbox is a collection of applications and libraries for flexible and efficient CT reconstruction. The toolbox apps generally take a set of projections (X-ray intensity measurements) and filter and back project them in order to recreate the image or volume that the projections represent. The project includes both mostly informative CPU implementations and highly efficient GPU implementations. Regular releases are hosted at the Python Package Index. -
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Starling Extension Particle System
A particle system for the Starling framework
The Starling Extension Particle System is an ActionScript extension for the Starling framework that enables developers to integrate particle effects created with the "Particle Designer" tool by 71squared into Starling-based applications. The demo-directory contains a sample project. To compile it, add a reference to the Starling library and add the source directory that contains the particle system classes. The project contains 4 sample configurations. Switch between configurations in... -
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Loaders.css
Delightful, performance-focused pure css loading animations
loaders.css is a collection of pure CSS loading animations designed to drop into any web project without JavaScript or image assets. Each loader is built from simple HTML elements animated with CSS keyframes, transforms, and opacity to create spinners, pulses, bars, and geometric patterns. Because they’re vector-based and CSS-driven, the animations scale cleanly at any resolution and look sharp on high-DPI displays. The library emphasizes small, reusable snippets: you copy a minimal markup... -
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ASTRA Tomography Toolbox
A high-performance GPU MATLAB toolbox for 2D and 3D tomography
NB: The ASTRA Tomography Toolbox is now hosted at http://www.astra-toolbox.com/ The ASTRA Tomography Toolbox is a MATLAB toolbox based on high-performance GPU primitives for 2D and 3D tomography, developed jointly by the ASTRA-Vision Lab research group at the University of Antwerp and CWI, Amsterdam. It supports 2D parallel and fan beam geometries, and 3D parallel and cone beam. All of them have highly flexible source/detector positioning. A large number of 2D and 3D algorithms are available, including FBP, SIRT, SART, CGLS. ... -
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ND2D
A Flash Molehill (Stage3D) GPU accelerated 2D game engine
ND2D is a 2D game framework for Flash that uses Stage3D / Molehill (i.e. the GPU acceleration in newer Flash Player versions). It allows game developers to build 2D games with lots of sprites, leveraging GPU for better performance. It includes display tree constructs, sprite sheets, particle systems, cameras, post-processing etc., made to simplify building high-performance 2D content in Flash. ND2D was built to make an ease use of hardware accelerated 2D content in the Flashplayer. ... -
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HTML GL
Get as many FPS as you need and amazing effects by rendering HTML/CSS
60 FPS and amazing effects by rendering HTML/CSS in WebGL, framework agnostic. HTML GL solves "the slow DOM problem" by creating WebGL representations of DOM elements and hiding actual DOM after. This speeds up HTML/CSS animations and transformations by using 3D hardware acceleration and allows to apply OpenGL effects as modern 3D games have. Using HTML GL you still work with HTML/CSS as you are common to, but DOM elements are just facades to their WebGL representations. These GPU... -
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LightSpMV
lightweight GPU-based sparse matrix-vector multiplication (SpMV)
LightSpMV is a novel CUDA-compatible sparse matrix-vector multiplication (SpMv) algorithm using the standard compressed sparse row (CSR) storage format. We have evaluated LightSpMV using various sparse matrices and further compared it to the CSR-based SpMV subprograms in the state-of-the-art CUSP and cuSPARSE. Performance evaluation reveals that on a single Tesla K40c GPU, LightSpMV is superior to both CUSP and cuSPARSE, with a speedup of up to 2.60 and 2.63 over CUSP, and up to 1.93 and 1.79 over cuSPARSE for single and double precision, respectively. -
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The goal of this project is to develop a high-performance black-box fast multipole method (bbFMM) that can run very fast on a CUDA-capable GPU. Our prime objective is to offload the multipole-to-local operation (M2L) and the particle-to-particle computation (P2P) efficiently onto GPU. The bbFMM is the primary target, but other FMM variants can work with our high-performance M2L codes.
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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...
