Search Results for "windows memory reader"

FFTW++ is a C++ header class for the FFTW Fast Fourier Transform library that automates memory allocation, alignment, planning, wisdom, and communication on both serial and parallel (OpenMP/MPI) architectures. In 2D and 3D, hybrid dealiasing of convolutions substantially reduces memory usage and computation time. Wrappers for C, Python, and Fortran are included.

XML Parser for Fortran. Handles XML and similar structured files. The library provides access (read and write) via a linked list. This is conceptual different from the SAX approach. The data can be held and 'browsed' in memory.

We humans are bound by intellectual abilities. All knowledge is far beyond power of any person. The only way to apply knowledge is to build machines able to present it human way but not limited by volume. Intellect Modeling Kit (IMK) is intended to build knowledge machines (KM) assisting experts on the steps of activity: * Observation; * Producing propositions based on knowledge; * Elimination of impossible propositions; * Selection and verification of the most appropriate...

...) --------1024MB RAM -------- Use Existing virtual drive (point to extracted Savuka.vdi) ---- Machine/Settigns/Display: set video memory to 50 MB, enable 2D and 3D acceleration ---- Machine/Settings/Shared Folders: Create new machine folder. Point to any data directory, folder name: DATA, select Auto-mount. Note: "Folder name" must be 'DATA' in all caps to link on boot Thats it! More Info: www.osmanbilsel.net www.paulnobrega.net

A low memory scaling distributed 3D FFT library. The library is designed for calculating complex‐to‐complex Fast Fourier Transforms (FFT’s) on 3‐D distributed data. It is based on FORTRAN90 and MPI with the underlying FFT calculated using FFTW3.

Simple Python class for managing tables of data in memory using NumPy. It allows to give names to views of array. The package contains few classes built on top of the basic one to be used as post processing tools for particle optics computations.