Projects tagged ‘computation’

Singular

Analyzed 27 days ago

SINGULAR is a Computer Algebra System for polynomial computations with special emphasis on the needs of commutative algebra, algebraic geometry, and singularity theory.

448K lines of code

17 current contributors

2 months since last commit

4 users on Open Hub

Moderate Activity

0 Reviews

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Mostly written in C++

Licenses: gpl, gpl3

StatET

Analyzed 26 days ago

StatET - Eclipse Tools for R Developers. The project provides Eclipse plugins and R packages for an Eclipse based IDE for R.

246K lines of code

0 current contributors

over 8 years since last commit

1 users on Open Hub

Inactive

0 Reviews

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Mostly written in Java

Licenses: apache_2, eclipse, lgpl

Tags computation console data development eclipse_plugins editor graphics gui ide r r_project statistics 1 more...

openXDA

Claimed by Grid Protection Alliance (GPA) Analyzed 27 days ago

openXDA is an extensible platform for processing event files from disturbance monitoring equipment such as digital fault recorders (DFRs) and power quality meters. In one implementation of openXDA analytics, based on the waveform data in these files and on user-provided transmission line ... [More]

1.13M lines of code

0 current contributors

2 months since last commit

1 users on Open Hub

Moderate Activity

0 Reviews

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Mostly written in JavaScript

Licenses: mit

Tags analysis computation comtrade energydata eventprocessor extensible faultdetection faultdistance meter phasor power powerquality 3 more...

EvoSynth

Analyzed 27 days ago

EvoSynth (Evolutionary Computation Synthesizer) is a framework for rapid development and prototyping of evolutionary algorithms.

8.04K lines of code

0 current contributors

over 13 years since last commit

1 users on Open Hub

Inactive

0 Reviews

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Mostly written in Ruby

Licenses: mit

Tags algorithms computation development evolutionary framework prototyping rapid ruby thesis

Continuum Blaze

C

Analyzed 27 days ago

Blaze is the next-generation of NumPy. It is designed as a foundational set of abstractions on which to build out-of-core and distributed algorithms over a wide variety of data sources and to extend the structure of NumPy itself. Blaze allows easy composition of low level computation kernels (C ... [More]

29.4K lines of code

1 current contributors

over 5 years since last commit

1 users on Open Hub

Inactive

0 Reviews

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Mostly written in Python

Licenses: BSD-3-Clause

Tags c computation distributed fortran numba numeric numpy parallel python scientific

m-a-d-n-e-s-s

M

Analyzed 27 days ago

MADNESS provides a high-level environment for the solution of integral and differential equations in many dimensions using adaptive, fast methods with guaranteed precision based on multi-resolution analysis and novel separated representations. There are three main components to MADNESS. At the ... [More] lowest level is a new petascale parallel programming environment that increases programmer productivity and code performance/scalability while maintaining backward compatibility with current programming tools such as MPI and Global Arrays. The numerical capabilities built upon the parallel tools provide a high-level environment for composing and solving numerical problems in many (1-6+) dimensions. Finally, built upon the numerical tools are new applications with initial focus upon chemistry, atomic and molecular physics, material science, and nuclear structure. Please look in the wiki for more information and project activity. Getting the sourceAnonymous, read-only source checkout: svn checkout http://m-a-d-n-e-s-s.googlecode.com/svn/local/trunk m-a-d-n-e-s-s-read-onlyDevelopers, please see the wiki Subversion page for instructions. Underneath the hoodIf you would like a glimpse at what's going on under the hood have a look at this call graph generated using the Google perftools. It nicely shows how work is funneled through the task-queue and how about 50% of the time is spent in the optimized matrix routines. The calculation computed the energy and gradient for di-nitrogen using the local density approximation on a two-core Thinkpad x61t. FundingThe developers gratefully acknowledge the support of the Department of Energy, Office of Science, Office of Basic Energy Sciences and Office of Advanced Scientific Computing Research, under contract DE-AC05-00OR22725 with Oak Ridge National Laboratory. The developers gratefully acknowledge the support of the National Science Foundation under grant 0509410 to the University of Tennessee in collaboration with The Ohio State University (P. Sadayappan). The MADNESS parallel runtime and parallel tree-algorithms include concepts and software developed under this project. The developers gratefully acknowledge the support of the National Science Foundation under grant NSF OCI-0904972 to the University of Tennessee. The solid state physics and multiconfiguration SCF capabilities are being developed by this project. The developers gratefully acknowledge the support of the Defense Advanced Research Projects Agency (DARPA) under subcontract from Argonne National Laboratory as part of the High-Productivity Computer Systems (HPCS) language evaluation project. [Less]

505K lines of code

7 current contributors

2 months since last commit

1 users on Open Hub

Moderate Activity

0 Reviews

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Mostly written in C++

Licenses: gpl

Tags c chemistry computation computing cplusplus framework high-performance math numerical parallel petascale physics 3 more...

pymaclab

Analyzed 27 days ago

PyMacLab is the Python Macroeconomics Laboratory which serves the purpose of providing a convenience framework written in form of a Python library with the ability to solve non-linear DSGE models. The library supports solving DSGE models using 1st and 2nd order perturbation methods which are ... [More]

101K lines of code

0 current contributors

almost 7 years since last commit

0 users on Open Hub

Inactive

0 Reviews

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Mostly written in Python

Licenses: apache_ish, bsd

Tags computation dsge dynamic econometrics education finance macroeconomics python research simulation timeseries

GSvit

Analyzed 2 months ago

Fast FDTD solver with graphics card support. Optimized for nanoscale optics - scanning near field optical microscopy, rough surface scattering and solar cells. Uses CUDA environment for graphics card operation.

51.9K lines of code

0 current contributors

over 1 year since last commit

0 users on Open Hub

Activity Not Available

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