Search Results for "high performance computing"
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Showing 31 open source projects for "high performance computing"
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Smilei
Particle-in-cell code for plasma simulation
Smilei is an open-source electromagnetic Particle-In-Cell code for kinetic plasma simulation. It is designed for high-performance computing and can run on modern supercomputing architectures. The software is co-developed by physicists and computer scientists, which gives it both strong numerical physics capabilities and serious parallel-performance engineering. Smilei supports a wide range of plasma studies, including laser-plasma interaction, accelerator physics, space physics, and astrophysical plasmas. ... -
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Newton
An open-source, GPU-accelerated physics simulation engine
Newton is a high-performance, GPU-accelerated physics simulation engine designed primarily for robotics research, machine learning, and advanced simulation workflows. Built on top of NVIDIA Warp, it leverages GPU parallelism to deliver scalable and efficient simulation environments that support rapid iteration and experimentation. The engine extends previous simulation frameworks by introducing differentiable physics capabilities, allowing it to integrate seamlessly with machine learning models and optimization pipelines. ... -
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CyberUnits
Class library for computational cybernetics
CyberUnits is a cross-platform class library for rapid development of high-performance computer simulations in life sciences. It supports modelling for biomedical cybernetics and systems biology with Object Pascal. -
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Kinetic.jl
Universal modeling and simulation of fluid mechanics upon ML
Kinetic is a computational fluid dynamics toolbox written in Julia. It aims to furnish efficient modeling and simulation methodologies for fluid dynamics, augmented by the power of machine learning. Based on differentiable programming, mechanical and neural network models are fused and solved in a unified framework. Simultaneous 1-3 dimensional numerical simulations can be performed on CPUs and GPUs. -
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GridLAB-D is a new power system simulation tool that provides valuable information to users who design and operate electric power transmission and distribution systems, and to utilities that wish to take advantage of the latest smart grid technology. It incorporates advanced modeling techniques with high-performance algorithms to deliver the latest in end-use load modeling technology integrated with three-phase unbalanced power flow, and retail market systems. Historically, the inability to effectively model and evaluate smart grid technologies has been a barrier to adoption; GridLAB-D is designed to address this problem. User documentation can be found at: http://gridlab-d.shoutwiki.com/wiki/Quick_links The source code is available from GitHub. ...
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MuJoCo-py
mujoco-py allows using MuJoCo from Python 3
mujoco-py is a Python wrapper for MuJoCo, a high-performance physics engine widely used in robotics, reinforcement learning, and AI research. It allows developers and researchers to run detailed rigid body simulations with contacts directly from Python, making MuJoCo easier to integrate into machine learning workflows. The library is compatible with MuJoCo version 2.1 and supports Linux and macOS, while Windows support has been deprecated. -
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PeerSim is a simulation environment for P2P protocols in java. Its features include easy configuration, extendability and high performance.
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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.
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Nifty Sim is a high-performance nonlinear finite element solver, developed at University College London. A key feature is the option of GPU-based execution, which allows the solver to significantly out-perform equivalent commercial packages.
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Advanced Simulation Library
Free multiphysics simulation software package
...ASL can be utilized to model various coupled physical and chemical phenomena and employed in a multitude of fields: computational fluid dynamics, virtual sensing, industrial process data validation and reconciliation, image-guided surgery, computer-aided engineering, high-performance scientific computing, etc.. -
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runjags
The 'runjags' R package and standalone JAGS extension module
This package provides high-level interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. ... -
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JASA allows researchers in agent-based computational economics to write high-performance trading simulations using a number of different auction protocols. The software also provides base classes for implementing simple adaptive trading agents.
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ViennaGrid is a generic mesh handling library that provides the traversal of structured and unstructured grids in arbitrary spatial dimensions, in particular 1d, 2d and 3d. Quantities can be conveniently stored on mesh elements using ViennaData.
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FlowVR is an open source middleware tailored for high performance in situ data processing and analytics running on large parallel machines
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LARA
Lightweight Architecture for boundedly Rational Agents
For the purpose of policy simulation in coupled social-ecological systems (e.g. energy supply), a credible modelling of actors – especially citizens – and their decision processes is needed. This requires a framework capable of handling high numbers of heterogeneous agents (several hundreds of thousands). LARA (Lightweight Architecture for boundedly Rational Agents) meets these requirements and fills the gap between frameworks without built-in psychological foundations and full-fledged... -
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NoCTweak
a Parameterizable Simulator for Early Exploration of Networks On-Chip
...McSim is a simulator for NoC-based many-core platforms, and is a part of the DreamCloud European project. DreamCloud allows dynamic resource allocation in many-core systems targeting high performance and energy efficient embedded applications. DreamCloud and McSim link: https://github.com/DreamCloud-Project -
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parFE is fully-parallel high-performance finite element code targeted to the modeling of trabecular bones in humans. It employs scalable multigrid solvers for efficient solutions on massively parallel computers.
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DReAMSim
Dynamic Re-configurable Autonomous Many-task Simulator
DReAMSim provides a simple simulation framework for modeling homogeneous and/or heterogeneous (re)-configurable processing elements in a large-scale distributed environment. In particular, DReAMSim enables users to model task scheduling techniques at a preliminary design stage in order to investigate their performance potential. The simulation framework makes it easy to extract various performance and resource utilization related statistics to study the behavior of different task... -
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Bio.Cairn is a library of highly-configurable high-performance modules to support numerical simulators for biological processes. Written in ANSI-standard C++, it makes extensive use of template metaprogramming and the BOOST libraries.
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A high-performance simulation package for sampling the chemical and reaction-diffusion master equations. Primarily intended for running stochastic simulations of microbial cells.
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libCL is an open-source library for high performance computing in OpenCL. The goal is to provide a comprehensive repository of parallel algorithms and data structures for visual-centric computing.
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Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
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Investigacion de diseño avanzado en biomecanica computacional con elementos finitos usando herramientas de software-libre.
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GridABM is an easy-to-use toolkit to develop high-performance agent-based models (ABMs) in Repast. GridABM facilitates large-scale simulation of ABM on multicore computers, local computing clusters, or computational grids.
