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Singular

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  Analyzed 13 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.

444K lines of code

17 current contributors

2 months since last commit

4 users on Open Hub

Moderate Activity
5.0
 
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m-a-d-n-e-s-s

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  Analyzed 1 day 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]

481K lines of code

7 current contributors

7 days since last commit

1 users on Open Hub

Moderate Activity
0.0
 
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StatET

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  Analyzed over 2 years ago

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

247K lines of code

0 current contributors

almost 6 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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Licenses: apache_2, eclipse, lgpl

EvoSynth

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  Analyzed 1 day ago

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

8.04K lines of code

0 current contributors

about 11 years since last commit

1 users on Open Hub

Inactive
5.0
 
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Continuum Blaze

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  Analyzed 1 day 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] , Fortran, Numba) to form complex data transformations on large datasets. In Blaze, computations are described in a high-level language (Python) but executed on a low-level runtime (outside of Python), enabling the easy mapping of high-level expertise to data without sacrificing low-level performance. Blaze aims to bring Python and NumPy into the massively-multicore arena, allowing it to leverage many CPU and GPU cores across computers, virtual machines and cloud services. [Less]

29.4K lines of code

1 current contributors

about 3 years since last commit

1 users on Open Hub

Inactive
0.0
 
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openXDA

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Claimed by Grid Protection Alliance (GPA) Analyzed 4 months 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] parameters, openXDA determines the fault type and calculates the line-distance to the fault. For more information. [Less]

943K lines of code

0 current contributors

5 months since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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anistat

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  No analysis available

Demonstrate statistical methods, theories and concepts in animations.

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: gpl3_or_l...

libext

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  No analysis available

Extended precision floating-point computation for Intel architectures.

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: No declared licenses

finj

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  Analyzed 1 day ago

library for financial computations written in Clojure

2.26K lines of code

0 current contributors

about 9 years since last commit

0 users on Open Hub

Inactive
0.0
 
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pymaclab

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  Analyzed 1 day 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] computed around the steady state. PyMacLab possesses the added advantage of being equipped with an advanced model file parser module, which automates cumbersome and error-prone linearization by hand. PyMacLab is written entirely in Python, is free and incredibly flexible to use and extend. [Less]

101K lines of code

0 current contributors

over 4 years since last commit

0 users on Open Hub

Inactive
0.0
 
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