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Showing 11 open source projects for "performance"
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smina
Scoring and Minimization with AutoDock Vina
A fork of AutoDock Vina that is customized to better support scoring function development and high-performance energy minimization. smina is maintained by David Koes at the University of Pittsburgh and is not directly affiliated with the AutoDock project. -
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MSCC Applications Support
Materials and Computational Chemistry applications on HPC platform
Five software i.e. AMDKIIT , ANN-CI, LITESOPH, MTASpec, and µ2mech are developed as an outcome of the Materials and Computational Chemistry (MSCC) project under the National Supercomputing Mission (NSM). These are the set of codes (software) developed by the investigators to perform the computations to study the properties of atoms, molecules, clusters, alloys, bio-molecules, and composite materials using high-performance computing (HPC). For more information on the softwares developed under... -
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SMASH
Massively parallel software for quantum chemistry calculations
Scalable Molecular Analysis Solver for High-performance computing systems (SMASH) is massively parallel software for quantum chemistry calculations and released under the Apache 2.0 open source license. It is currently capable of energy, analytical gradient, and geometry optimization calculations of Hartree-Fock theory and Density Functional Theory (DFT), and energy calculations of Second-order Moller-Plesset (MP2) perturbation theory. DFT calculations can be performed on 100,000 CPU cores... -
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NESSIE is a modern first-principle calculation software that can adequately address the need for ever-higher levels of numerical accuracy and high-performance in large-scale electronic structure simulations, as well as pioneer the fundamental study of quantum many-body effects in a large number of emerging nanomaterials. NESSIE is an electronic structure code that uses a real-space FEM discretization and domain-decomposition (DD) to perform all-electron ground-state DFT and real-time excited...
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RMGDFT
Real Space Multigrid based electronic structure code.
News: active RMG development has moved to github https://github.com/RMGDFT News: V4.1.0 released on 09/29/2020 News: V4.0.0 released on 09/01/2020 with major updates. News: V3.0.0 released on 06/09/2018 with major updates. News: V2.2.2 released on 10/14/2017 with minor bug fixes. News: V2.2 with performance enhancements, bug fixes and new features released on 06/26/2017. Sources are available with binaries to follow soon. News: V2.1 with many improvements released on 07/15... -
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In silico fragmentation evaluation
Comparative analysis of open source in silico fragmentation tools
We compared the performance of four publicly available in silico fragmentation tools that help in structure elucidation of metabolites (MetFrag, CFM-ID, MAGMa+ and MS-FINDER). Using the output of these tools we developed a voting/consensus model which is combining, re-ordering and re-ranking the candidates file and increases the correct hit percentage. We used 520 compounds from the 2016 CASMI challenge with 312 compounds for training and 208 compounds for validation purposes. -
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Molecular Simulation Grid
Provides high performance computing power and state of the art tools
MoSGrid focuses on the configuration and provision of Grid services for molecular simulations and annotation of the results with metadata and their provision for data mining and knowledge generation. It is based on Liferay technology togethe with gUSE. -
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A high-performance simulation package for sampling the chemical and reaction-diffusion master equations. Primarily intended for running stochastic simulations of microbial cells.
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Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
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The #1 Embedded Analytics Solution for SaaS Teams.Qrvey’s comprehensive embedded analytics software enables you to design more customizable analytics experiences for your end users.
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Tandem mass spectral peptide identification and validation software, similar to X!Tandem, OMSSA, MyriMatch. Suitable for single hosts through large clusters. Written in Python for simplicity, with performance-critical sections in C++.
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In many parallel scientific applications the process of grid generation, decomposition, message passing, and performance measurements are of similar stucture. The projects intention is to develop a generic function library that will contain all these.
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