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jogl

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  Analyzed about 11 hours ago

The JOGL project hosts the development version of the Java™ Binding for the OpenGL® API, and is designed to provide hardware-supported 3D graphics to applications written in Java. JOGL provides full access to the APIs in the OpenGL 1.3 - 3.0, 3.1 - 3.3, ≥ 4.0, ES 1.x and ES 2.x specification as ... [More] well as nearly all vendor extensions. OpenGL Evolution & JOGL (UML) gives you a brief overview of OpenGL, it's profiles and how we map them to JOGL. JOGL integrates with the AWT and Swing widget sets, as well with custom windowing toolkits using the NativeWindow API. JOGL also provides it's own native windowing toolkit, NEWT. [Less]

737K lines of code

3 current contributors

1 day since last commit

22 users on Open Hub

High Activity
5.0
 
0 Reviews
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Mostly written in Java
Licenses: bsd
Tags 3d api bindings c++ developer development game gluegen gpu graphics java java3d 9 more...

GROMACS

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  Analyzed 1 day ago

GROMACS is a versatile package to perform molecular dynamics, i.e. simulate the Newtonian equations of motion for systems with hundreds to millions of particles. It is primarily designed for biochemical molecules like proteins, lipids and nucleic acids that have a lot of complicated bonded ... [More] interactions, but but thanks to its speed, many groups also use it for research on non-biological systems, e.g. polymers. Speed is one of the key features that makes GROMACS particularly attractive. Thanks to the strong emphasis on bottom-up performance tuning: hand-tuned CPU SIMD kernels are available for most CPU architectures, CUDA-and OpenCL-based GPU acceleration together with efficient multi-threading and neutral-territory domain-decomposition with MPI SPMD parallelization is supported. [Less]

1.98M lines of code

30 current contributors

1 day since last commit

20 users on Open Hub

High Activity
5.0
 
0 Reviews
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Mostly written in C++
Licenses: lgpl21
Tags avx avx2 bgq C++11 cuda gpu gromacs high_performance_computing hpc molecular_dynamics moleculardynamics molecular_simulation 8 more...

deeplearning4j

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  Analyzed about 20 hours ago

Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library; designed to be used in business environments. Deeplearning4j aims to be cutting-edge plug and play, more convention than configuration, which allows for fast prototyping for non-researchers. Vast ... [More] support of scale out: Hadoop, Spark and Akka + AWS et al It includes both a distributed, multi-threaded deep-learning framework and a normal single-threaded deep-learning framework. Iterative reduce net training. First framework adapted for a micro-service architecture. A versatile n-dimensional array class. GPU integration [Less]

1.1M lines of code

17 current contributors

13 days since last commit

5 users on Open Hub

Moderate Activity
4.0
   
0 Reviews
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Mostly written in Java
Licenses: apache_2
Tags akka aws bigdata cloud_computing cluster cpu deeplearning distributed gpu gpu_computing gpucomputing hadoop 8 more...

pytorch

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  Analyzed 5 months ago

Tensors and Dynamic neural networks in Python with strong GPU acceleration

2.86M lines of code

894 current contributors

5 months since last commit

5 users on Open Hub

Activity Not Available
0.0
 
0 Reviews
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Mostly written in C++
Licenses: BSD-3-Clause
Tags deep_learning deep_neural_networks gpu machine_learning machinelearning optimization python

pycuda

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  Analyzed about 21 hours ago

PyCuda is licensed to you under the MIT/X Consortium license: Copyright (c) 2008 Andreas Klöckner Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction ... [More] , including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHAN [Less]

18.4K lines of code

5 current contributors

26 days since last commit

5 users on Open Hub

Low Activity
5.0
 
1 Review
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Mostly written in Python
Licenses: mit
Tags cuda gpgpu gpu python

Equalizer - Parallel Rendering

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  Analyzed 1 day ago

Equalizer is an open source programming interface and resource management system for scalable OpenGL applications. An Equalizer application can run unmodified on any visualization system, from a singlepipe workstation to large scale graphics clusters and multi-GPU workstations. Equalizer is built ... [More] upon a parallel OpenGL-based programming interface solving problems that are common to any multipipe application. The API is minimally invasive, making application porting as easy as possible while delivering maximum performance. [Less]

383K lines of code

1 current contributors

10 months since last commit

4 users on Open Hub

Very Low Activity
5.0
 
0 Reviews
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Mostly written in C++
Licenses: BSD-3-Clause, lgpl
Tags 3d 3d_rendering agl c++ carbon clustering cross-platform development distributed_computing framework gl glut 24 more...

ESPResSo Soft Matter Simulation Software

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  Analyzed 9 months ago

ESPResSo is a highly versatile software package for scientific simulations and analysis of coarse-grained atomistic or bead-spring models as they are used in soft matter research, with emphasis on charged systems.

482K lines of code

0 current contributors

9 months since last commit

3 users on Open Hub

Activity Not Available
0.0
 
0 Reviews
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Mostly written in C++
Licenses: gpl3_or_l...
Tags c cuda gpu molecular_dynamics moleculardynamics molecularsimulation mpi parallelcomputing science scientific_computing scientificcomputing scientificsoftware 1 more...

Alacritty

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  Analyzed about 15 hours ago

Alacritty is a terminal emulator with a strong focus on simplicity and performance. With such a strong focus on performance, included features are carefully considered and you can always expect Alacritty to be blazingly fast. By making sane choices for defaults, Alacritty requires no additional ... [More] setup. However, it does allow configuration of many aspects of the terminal. Alacritty is the fastest terminal emulator in existence. Using the GPU for rendering enables optimizations that simply aren't possible without it. Alacritty currently supports macOS, Linux, BSD, and Windows. [Less]

22.6K lines of code

115 current contributors

7 days since last commit

3 users on Open Hub

Moderate Activity
0.0
 
0 Reviews
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Mostly written in Rust
Licenses: apache_2
Tags console curses gpu ncurses opengl rust shell terminal terminal_emulator terminalemulator terminals tty

OpenVIDIA : Parallel GPU Computer Vision

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  Analyzed almost 4 years ago

OpenVIDIA projects implement computer vision algorithms running on on graphics hardware such as single or multiple graphics processing units(GPUs) using OpenGL, Cg and CUDA-C. Some samples will soon support OpenCL and Direct Compute API's also.

40.7K lines of code

0 current contributors

almost 15 years since last commit

2 users on Open Hub

Activity Not Available
0.0
 
0 Reviews
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Mostly written in C++
Licenses: apache_2
Tags compute gpu image processing shaders vision

cudpp

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  Analyzed 2 days ago

CUDPP is the CUDA Data Parallel Primitives Library. CUDPP is a library of data-parallel algorithm primitives such as parallel prefix-sum (”scan”), parallel sort and parallel reduction. Primitives such as these are important building blocks for a wide variety of data-parallel algorithms, including ... [More] sorting, stream compaction, and building data structures such as trees and summed-area tables. CUDPP runs on processors that support CUDA. For detailed information, see the CUDPP Documentation. A good place to start is the simpleCUDPP Example. [Less]

33.9K lines of code

0 current contributors

almost 7 years since last commit

2 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in C
Licenses: bsd
Tags algorithms cuda data-parallelalgorithms gpu gpucomputing parallelcomputing sorting