Search Results for "cloud computing in the matlab"

Release: PeMSyn 2.4 - 03.Sep.21 Requirements: - Matlab 2018a or later (with Parallel Computing Toolbox ) - Scilab 6.1.0 or later - FEMM 4.2 (21Apr2019 or later) Matlab/Scilab-FEMM based GUI to Assist the Design of Permanent Magnet Machines: - Surface Mounted PMSM: Inner Rotor / Outer Rotor - Inset Mounted PMSM: Inner Rotor / Outer Rotor - Spoke-Type PMSM: Inner Rotor - Coreless Machine - Different Slot types available - Permeance Coefficient Assistant --- No-Load and On-Load estimation for PC during the design process - Winding Wizard Assistant - Performance Simulator (FEMM Based) --- No-Load and On-Load parameters assessment considering armature reaction and saturation effects --- Torque Curve Capability assessment --- Parallel Processing (Matlab only) TUTORIAL included! ...

Using Approximate Computing, we have designed an innovative approximate adder with real-world image processing applications. The uploaded project includes its Matlab and Verilog models for result reproduction. This is an ongoing study and we aim to formally publish it for better understanding of viewers.

The Cloud Research Simulation Toolkit (CReST) is a cloud computing simulation platform written in Java.

An easy-to-use simulator for decentralized distributed scheduling in Clusters, Grids, and Cloud ecosystem MaGate 2.0 is now available from github! https://github.com/huangye177/magate

...The CADET solver covers a wide range of GRM variants, combining different transport and binding models with state-of-the-art mathematical algorithms and scientific computing techniques. The CADET framework also comprises a MATLAB interface and standard routines for parameter estimation, process optimization and experimental design. CADET is freely distributed as a contribution to the scientific community. If you find it useful for your own work, we would appreciate acknowledgements of the CADET software and citations of our papers: http://doi.org/10.1016/j.compchemeng.2010.03.008 http://doi.org/10.1016/j.compchemeng.2018.02.025

The Bristol Cloud Service simulation runner is a cloud computing Software as a Service designed to enable users to quickly launch simulation code on Amazon AWS' Elastic Compute Cloud (EC2). BRiCS is written in Python using the Django framework and interacts with EC2 using the boto API. BriCS enables multiple simulation runs to be launched in parallel from a web browser.

Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/

QCF is a toolbox of Quantum Computing Functions for Matlab and Octave. It is based on the syntax of Nielsen & Chuang's book 'Quantum Computing and Quantum Information'. It includes simulations of the Grover and Deutsch algorithms and a pdf tutorial.

OpenEERS (Open Earthquake Engineering Response Simulator) is a Matlab program for computing and animating the linear elastic response of discrete multiple degree of freedom structural systems using Newmark's Method.