Search Results for "linux wifi kernel"

The JASI library provides an architecture based on a simulation kernel and elementary classes for simulation elements and event to build event-based simulation systems in Java.

TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP...

Capsim(r) C Text Mode Kernel(TMK),DSP and communication blocks, topologies, libraries and tools for the development of high performance block diagram digital signal processing and communications systems,built in interpreter for scripting.SystemC support.

Experix is a command-line driven environment for laboratory data acquisition and device control and graphical presentation and analysis of data. Written in C for GNU-Linux . Tested on PC and Raspberry Pi. The core is written very generally in order to support applications by means of script files. Device interfaces: PCMCIA daq (2 devices tested) via kernel module with interrupt handler and memory-mapped data; USB daq (1 device tested) using libusbx; running an equipment servicing program via pipes. ...

SystemC-WMS (Wave Mixed Signal Simulator) is a class library that extends the standard SystemC kernel to allow modeling and simulation of complex systems comprising analog parts from heterogeneous domain (electrical, mechanical, thermal, ...).

ViennaFEM is a library-centric implementation of the finite element method in C++. It features a symbolic math kernel, which manipulates the strong or weak form of the problem and automatically derives the discrete form. ViennaFEM is built on top of the following libraries: ViennaMath provides the symbolic math kernel, ViennaGrid (with ViennaData) allows for a generic grid handling and quantity storage, while ViennaCL provides the linear solvers and GPU acceleration.