Search Results for "cluster"

progrep is a command-line tool (Linux) to show live progress report, status & stats of a running simulation or compute job that executes a given number of iterations. It shows % completed, time remaining, time elapsed, number of threads, MPI_Rank(if any), CPU usage & speed (FPS). The FPS measures may be used in benchmarking, e.g. while optimizing HPC algorithms for performance. progrep supports both single-threaded and parallel (multicore/multinode - e.g. OpenMP/MPI) jobs. progrep can...

...VLE provides a complete set of C++ libraries, called VFL (VLE Foundation Libraries), to develop DEVS models, to gets results of simulations, to launch simulation on cluster. The models can be developed with the DEVS formalism or with the classical mathematical formalism: Ordinary Differential Equation with Euler, Range-Kutta or QSS integrator, Finite state automaton (FDDEVS, UML State chart, Hybrid Petri net). The VLE environment provides an IDE to develop C++ models, DEVS coupled models. VLE have also three ports to use the VFL with Python, Java and R programming languages.

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.

KEMP is a fast FDTD solver on a GPU-based cluster. The FDTD (Finite-Difference Time-Domain) method is a popular numerical method for electromagnetic field simulations. KEMP enables hardware accelerations suitable for multi-GPU, multi-core CPU and GPU cluster. KEMP also provide easy configuration by using Python scripting language.

A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating sensory activity, etc. ...

Free to join for developers who support the Free Software Foundation cause. This is my research project from 2003, which I recently updated with acceleration- and console changes (Surround Sound, Doppler Effects, Device Updates, Physics) in a long weekend but project should be considered abandoned. Additionally, the Performer libraries have been abandoned by Silicon Graphics. Minor setup- and make reconfiguration bugs, no changes planned. The Command Centre is a Simulation Programming...

This program allows to perform a structural cluster analysis of atomic trajectories obtained, e.g., from molecular dynamics simulations. At variance with other approaches, it is possible to analyse also processes in solution, e.g., chemical reactions in liquid water, since the distance metric is based on a Permutation Invariant Vector (PIV) that is symmetric under exchange of identical atoms or molecules, including on the same footing both solute and solvent degrees of freedom. ...

Keywords (XNDiff): -SAXS -SANS -absolute units -core (double)shell crystalline nanoparticles -with a parallelepidal shape -particle assemblies -powder and ensemble average -C/C++ -Unix -OpenMP -HPC Cluster Keywords (BatchMultiFit): -simultaneous fits for several SAXS and SANS curves with simulation data from XNDiff -SANS data can be smeared with dq values from experimental data sets or analytical functions -Mathematica console -local and global optimizers (simulated annealing, differential evolution, Nelder-Mead, ...) can be used -range for fit parameters and further constraints between fit parameters -parallelized (typ. 4-8 threads) TODO (BatchMultiFit): -read and use errorbars from experimental data sets -allow different q-ranges for different data sets in the fits -rewrite and test in Python using e.g. the lmfit module: https://pypi.python.org/pypi/lmfit/ to get rid of Mathematica and to run it on HPC clusters

A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. Each microthread is conceptually similar to a task in Ada and it is much lighter weight than an operating system thread. SpikeOS was designed to handle millions of microthreads, for example in a neural network hosting millions of spiking model neurons. SpikeOS handles microthread scheduling, synchronization, distribution and communication. *** This project has been forked. ...

clupan is a tool for performing the cluster expansion and several Monte Carlo simulations in multicomponent alloys. clupan can be used for predicting ground state structures and evaluating phase diagrams on the basis of results of DFT calculations.

birgHPCC is a major improvement over birgHPC (http://sourceforge.net/projects/birghpc/). While retaining the major functions of the original birgHPC, including automated computing cluster conversion and auto slots detection, the new version (birgHPCC) is capable of creating and configuring a compute unified device architecture (CUDA) computing cluster, hence the extra “C” in the name. In addition to the increase in image size (less than 2 gigabytes) and a new Linux base (previously Debian, now Ubuntu), CUDA-capable bioinformatics software programs, such as NAMD, HOOMD-blue, VMD, GPU-HMMER and GPU-BLAST, are pre-installed in birgHPCC, along with the CUDA driver, libraries and software development kit (SDK). ...

'caseGen' allows you to simplify your numerical simulation problem! Actual its not fairly tested so please contact me if you see any refinements or found bugs.

HPC cloud computing for OpenFOAM (R) users

birgHPC is a Linux Live CD distribution based on PelicanHPC and Debian Live. birgHPC features automated cluster configuration on PCs in the same network specifically for bioinformatics and molecular dynamics. If you are looking for CUDA support, try birgHPCC (https://sourceforge.net/projects/birghpcc/) If you use birgHPC in your work, please cite us: Teong Han Chew, Kwee Hong Joyce-Tan, Farizuwana Akma and Mohd Shahir Shamsir. birgHPC: creating instant computing clusters for bioinformatics and molecular dynamics. ...

SYSTEM FOR DESIGNING AND SIMULATE CONCURRENT AND DISTRIBUTED PROGRAMS IN CLUSTER ARCHITECTURE Provides graphical interface for configuring relationships between cooperating, abstract processes and simulate it in real cluster environment, using MPI.

Integrated Capacity Planning Environment is a collection of program modules to support the analysis and modeling of enterprise grid/cluster systems.

N-sim is a framework for studying and developing wireless sensor networks. It emulates the computation of sensor platforms, simulates the wireless communications, and allows plug-in models for source detection simulation. Intended for cluster computing.

Uattended Ground Sensor research-n-development has warranted the existance of a flexible simulation environment to emulate sensor placement, target movement and provide hooks to verify cluster behaviors.

a distributed engine for abstract neural network development via natural-language programming

The Integrative Biology VRE is a web-based graphical user interface and repository that provides an environment where biological simulation experiments can be constructed without the need for any knowledge of unix, cluster computing, or shell scripting.