mloss | Projects that are tagged with high performance computing.

bufferkdtree 1.3

by fgieseke - October 20, 2017, 11:39:59 CET [ ] 6648 views, 2016 downloads, 0 subscriptions

About: The bufferkdtree package is a Python library that aims at accelerating nearest neighbor computations using both k-d trees and modern many-core devices such as graphics processing units (GPUs).

Changes:

Initial Announcement on mloss.org.

Authors: Fgieseke, Christian Igel, Cosmin Oancea, Justin Heinermann
License: Gnu Gpl V2
Programming Language: Python, C, Opencl

Operating System: Linux
Data Formats: Numpy, Python
Tags: Large Scale, Nearest Neighbors, Gpu, High Performance Computing, Big Data

LibBi 1.0.0

by lawmurray - June 23, 2013, 09:04:21 CET [ ] 9834 views, 2290 downloads, 0 subscriptions

About: Bayesian state-space modelling and inference on high-performance computer hardware.

Changes:

Initial Announcement on mloss.org.

Authors: Lawrence Murray
License: Gpl Version 2
Programming Language: C++, Perl

Operating System: Linux, Mac Os X
Data Formats: Netcdf
Tags: Particle Filter, Gpu, Bayesian, Gpgpu, High Performance Computing, Particle Markov Chain Monte Carlo, Sequential Monte Carlo, State Space Model

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bufferkdtree 1.3

LibBi 1.0.0