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GROMACS

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  Analyzed 2 days 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]

1.66M lines of code

24 current contributors

about 1 month since last commit

18 users on Open Hub

High Activity
5.0
 
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pycuda

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  Analyzed about 14 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]

17.1K lines of code

6 current contributors

13 days since last commit

5 users on Open Hub

Moderate Activity
5.0
 
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nvidia-texture-tools

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  Analyzed over 1 year ago

The NVIDIA Texture Tools is a collection of image processing and texture manipulation tools, designed to be integrated in game tools and asset conditioning pipelines. The primary features of the library are mipmap and normal map generation, format conversion and DXT compression. DXT ... [More] compression is based on Simon Brown's squish library. The library also contains an alternative GPU-accelerated compressor that uses CUDA and is one order of magnitude faster. [Less]

108K lines of code

0 current contributors

over 2 years since last commit

5 users on Open Hub

Activity Not Available
0.0
 
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NWChem

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  Analyzed about 1 year ago

NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters.

5.72M lines of code

13 current contributors

over 1 year since last commit

5 users on Open Hub

Activity Not Available
0.0
 
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Thrust: Parallel Template Library

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  Analyzed over 1 year ago

Thrust is a CUDA library of parallel algorithms with an interface resembling the C++ Standard Template Library (STL). Thrust provides a flexible high-level interface for GPU programming that greatly enhances developer productivity. Develop high-performance applications rapidly with Thrust!

41K lines of code

0 current contributors

over 5 years since last commit

4 users on Open Hub

Activity Not Available
4.66667
   
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ESPResSo Soft Matter Simulation Software

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  Analyzed about 12 hours 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.

296K lines of code

24 current contributors

5 months since last commit

3 users on Open Hub

Low Activity
0.0
 
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CP2K

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  Analyzed 6 months ago

CP2K is a program to perform atomistic and molecular simulations of solid state, liquid, molecular, and biological systems. It provides a general framework for different methods such as e.g., density functional theory (DFT) using a mixed Gaussian and plane waves approach (GPW) and classical pair and ... [More] many-body potentials. CP2K is freely available under the GPL license. It is written in Fortran 95 and can be run efficiently in parallel. [Less]

978K lines of code

18 current contributors

7 months since last commit

3 users on Open Hub

Activity Not Available
5.0
 
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cudpp

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  Analyzed about 1 year 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]

60.4K lines of code

4 current contributors

over 1 year since last commit

2 users on Open Hub

Activity Not Available
5.0
 
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GpuCV

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  No analysis available

GpuCV is an open-source GPU-accelerated image processing and Computer Vision library. It offers an Intel's OpenCV-like programming interface for easily porting existing OpenCV applications, while taking advantage of the high level of parallelism and computing power available from recent graphics ... [More] processing units (GPUs). It is distributed as free software under the CeCILL-B license. [Less]

0 lines of code

0 current contributors

0 since last commit

2 users on Open Hub

Activity Not Available
4.0
   
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Mostly written in language not available
Licenses: CECILL-B

accelerate-cuda

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  Analyzed about 8 hours ago

Accelerate backend for NVIDIA GPUs

6.07K lines of code

1 current contributors

5 months since last commit

2 users on Open Hub

Very Low Activity
0.0
 
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Licenses: No declared licenses
Tags cuda nvidia