Search Results for "cp/m"
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Showing 32 open source projects for "cp/m"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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1
LINE Solver
Simulation and algorithms for queueing theory
LINE is an open-source software package to analyze queueing models via analytical methods and simulation. The solver is available for Python, MATLAB, C++ and Java. LINE features algorithms for the solution of open queueing systems (e.g., M/M/1, M/M/k, M/G/1, ...), open and closed queueing networks, and layered queueing networks. The LINE discrete event simulator (LDES) covers a broad spectrum of these models. Additional details are available on the project website: http://line-solver.sf.net. -
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, ETL DB, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator. Version: 8.0 [Aug `26], 7.0 [Jan `23], 6.1 [Apr. `21], 6 [Sep. `20] , 5 [Jul. `19], 4 [Mar. `18], 3 [Apr. `15], 2.1 [Feb. `09], 2 [`03] See PVM: Visual Persistent Hierarchical Component-based Modeler (https://acims.asu.edu/persistent-visual-modeler/ ) and CoSMoSim: hierarchical visual modeling, database model repository, families of models, statecharts, partial-code generation for XML/DEVS-Suite models... -
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DeepSee
Visualize deep ocean biogeochemical sediment samples in 2D and 3D!
...🦑🦀🐚 🚀 For a live demo, visit: https://www.its.caltech.edu/~datavis/deepsee/ 🌱 To get started, visit our Wiki: https://sourceforge.net/p/deepsee/wiki/Home/ 🧑💻 To modify DeepSee for your own project, visit our GitHub repository: https://github.com/orphanlab/DeepSee/ --- Created by Adam Coscia, Haley M. Sapers, Noah Deutsch, Malika Khurana, John S. Magyar, Sergio A. Parra, Daniel R. Utter, Rebecca L. Wipfler, David W. Caress, Eric J. Martin, Jennifer B. Paduan, Maggie Hendrie, Santiago Lombeyda, Hillary Mushkin, Alex Endert, Scott Davidoff, and Victoria J. Orphan. Copyright (c) 2022-23 California Institute of Technology ("Caltech"). ... -
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Matrix Product State (MPS) Simulations
Numerical routines for variational matrix product state simulations.
...We offer various time evolution methods with an emphasis on the support of long-range interactions through the matrix product state formalism. For more algorithms, see the list of features below. Please cite "M. L. Wall and L. D. Carr, New J. Phys. 14, 125015 (2012)" and "D. Jaschke, M. L. Wall, and L. D. Carr, Computer Physics Communications 225, 59–91 (2018)" if your publication involves OSMPS. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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StochSD
CSS package for contin., discrete and combined modelling & simulation
...This means that the results from CSS and DES modelling now can be fully consistent. (See the paper "The Full Potential of Continuous System Simulation Modelling" by Gustafsson L & Sternad M.) In particular, StochSD includes features for stochastic modelling and post analysis of multiple simulations followed by presentation of the results in statistical form. Tools for Sensitivity Analysis, Optimization and Statistical Analysis are parts of StochSD. -
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Crystalsim - XRD hkl simulation
X-ray diffraction (XRD) analysis for hkl simulation of any crystal.
...Crystalline lattice parameters such as ‘a’, ‘b’, ‘c’ as well as interfacial angles such as alpha, beta, gamma can also be entered manually. Processed data can be saved as .csv file format. Designed by M Kanagasabapathy, Associate Professor, Department of Chemistry, Rajus' College, Affiliated to Madurai Kamaraj University Rajapalayam (TN) India email: rrcmks(at)gmail.com -
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dupost
Dual Porosity Stokes model implemented with FEniCS
A coupled dual porosity Stokes model implemented with FEniCS. References: 1. C. Douglas, X. Hu, B. Bai, X. He, M. Wei and J. Hou, "A Data Assimilation Enabled Model for Coupling Dual Porosity Flow with Free Flow," 2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), Wuxi, 2018, pp. 304-307. doi: 10.1109/DCABES.2018.00085 2. Hu X., Douglas C.C. (2019) An Implementation of a Coupled Dual-Porosity-Stokes Model with FEniCS. ... -
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This is a standalone program for a) the calculation of diffusion coefficients of sorbates inside nanoporous materials at different loadings by using transition rate constants and for b) solving the master equation for a system consisted of a large number of unit cells per each direction. It is based on the following published paper "Kolokathis, P. D., Braun, O. M.. J. Comput. Chem. 2019, 40, 2053– 2066. DOI: 10.1002/jcc.25857"
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9
RTC-simulator
Simulation and Control of Processing Plants
RTC (Real Time Control) is a program of M. Mulholland (2015). This is a simple interactive simulator including 20 different applications for such aspects as PID and DMC controller tuning, advanced level control, Smith prediction, Kalman filtering, and control strategies for a furnace, a boiler, and a hybrid system. A tutorial gives brief background to the theory and programming of each application, plus a stepwise set of objectives to illustrate the main features. -
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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10
syfluid
Fancy interactive fluid simulation for gfx fans, VJs and demo coders
...Drag while your left mouse button is pressed to make the whole thing move, i.e. to "draw" the "forces" that you're adding to the fluid/density field. Press "r" to clear the screen and "m" to open the menu. Press "1" .. "8" to switch color presets. SPACE to pause. "s" to save a png or jpg. syfluid is written in C++ using OpenGL. Even though it is heavily performance optimized and using OpenGL Shading Language (GLSL), it is a performance hog. Use "f" to show the FPS. If they are lower than 30, then reduce the quality parameter that you find in the menu from 200 to e.g. 100. ... -
11
TUBE
Generating structures of nanotubes and some fullerenes
A Windows software for generating structures of nanotubes and some fullerenes. You can generate any kind of nanotubes (n,m) with chirality indices n and m ranging from 0 to 60, and the number of repetitive unit cells up to 50. You can also generate some typical fullerene cages from C20 up to C320. -
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2d Heat advection Parallelized
MPI based Parallelized C Program code to solve for 2D heat advection.
Type - 2D Grid - Structured Cartesian Case - Heat advection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - MPI (for cluster environment) Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup: The left and top edges are heated to 100 C and the right and bottom boundaries are heated to 0 C. The flow is along the main diagonal. -
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3D Heat advection C code
A C Program code to solve for Heat advection in 3D Cartesian grid.
Type - 3D Grid - Structured Cartesian Case - Heat advection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The left, top and inside plane boundary is at 100 C and the right, bottom and outside plane boundary is at 0 C. The flow is along the main diagonal. -
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2D Heat advection C code
A C Program code to solve for Heat advection in 2D Cartesian grid.
Type - 2D Grid - Structured Cartesian Case - Heat advection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The left and top boundary is at 100 C and the right and bottom boundary is at 0 C. The flow is along the main diagonal. -
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3D Heat convection C code
A C Program code to solve for Heat convection in 3D Cartesian grid.
Type - 3D Grid - Structured Cartesian Case - Heat convection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The top, bottom, front and back boundaries are heated to 100 C. The left boundary is inlet (Velocity = 1m/s along X direction) and at an Inlet temperature of 30 C and the right boundary is outlet. -
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2D Heat convection C code
A C Program code to solve for Heat convection in 2D Cartesian grid.
Type - 2D Grid - Structured Cartesian Case - Heat convection Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit, QUICK Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The top and bottom boundaries are heated to 100 C. The left boundary is inlet (Velocity = 1m/s along X direction) and at an Inlet temperature of 30 C and the right boundary is outlet. -
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3d axisymmetric heat diffusion C code
A C Program code to solve for Heat diffusion in 3D Axi-symmetric grid.
Type - 3D Grid - Axisymmetric Case - Heat diffusion Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LR,LZ,LH) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup - Periphery heated to 500 C Top to 500 C Bottom to 500 C -
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2d axisymmetric heat diffusion C code
A C Program code to solve for Heat diffusion in 2D Axi-symmetric grid.
Type - 2D Grid - Axisymmetric Case - Heat diffusion Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LR,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup - Periphery heated to 200 C Top to 300 C Bottom to 100 C -
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3d heat conduction parallelized
MPI based Parallelized C Program code to solve for 3D heat conduction.
Type - 3D Grid - Structured Cartesian Case - Heat conduction Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - Yes Inputs: [ Length of domain (LX,LY,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The six boundaries are heated to 100 C, 200 C, 300 C, 400 C, 500 C, 600 C respectively. -
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3d Heat conduction C code
A C Program code to solve for Heat conduction in 3D Cartesian grid.
Type - 3D Grid - Structured Cartesian Case - Heat Conduction Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LX,LY,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup : The six boundaries are heated to 100 C, 200 C, 300 C, 400 C, 500 C and 600 C respectively. -
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...Python implementation is more versatile (2D and 3D data). * a Leica file reader, * Steindhard bond orientational order calculation * a VTK file writer 1. Leocmach, M. & Tanaka, H. A novel particle tracking method with individual particle size measurement and its application to ordering in glassy hard sphere colloids. Soft Matter 9, 1447–1457 (2013). https://dx.doi.org/10.1039/C2SM27107A (http://arxiv.org/pdf/1301.7237.pdf)
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OpenSeesGUI
A simple GUI for post-processing data files from OpenSees analysis.
A simple GUI for post-processing data files from OpenSees analysis. -
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JSim
Java-based discrete event simulator of an M/M/s queue system
JSim is a Java-based discrete event simulator of an M/M/s queue system. The target audience are students and educators who may use it to explain and understand the basic principles of the system. JSim includes a library of classes that can be used to modify the application to simulate other types of queuing systems as well. Therefore, it may be used as starting point to build larger, application specific simulator. -
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BlueSky Open Air Traffic Simulator
BlueSky Open Air Traffic sim, (Windows/Linux/Mac, Python 2.x based)
...BlueSky commands, and thus the scenario files, are compatible with the TMX simulator in use by NLR and NASA. BlueSky is originally developed, and still moderated, by prof. Jacco M. Hoekstra and staff and students of the TU Delft. More documentation can be found at the website and inside the doc folder. -
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PerformNet
Queue network modelization tool
...L’équipe était composée de : Philippe Olivier, François Lemonnier-Lalonde, Dominique Tremblay et François Moreau. Le projet a été réalisé pour le cours de Génie logiciel orienté objet, donné par M. Jonathan Gaudreault à l'Université Laval. Le projet consistait à développer un logiciel de modélisation de réseau de files d’attente, aussi appelé un réseau de Jackson. Chaque nœud du réspeau représente une station de traitement et chaque arc orienté représente un chemin possible d’une station à une autre. Le réseau possède toujours un point d’arrivée et de sortie. ...
