Open Source Linux Distributed Computing Software

A parallel system simulator kernel that support ultra-large scale computer system simulation.

A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.

============================= THIS CODE IS DEPRECATED ============================= For updated information about MTSA visit: http://mtsa.dc.uba.ar

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.

Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.

Create your own distributed computer that can distributed javascript based applications to any computer with a web browser, headless browser or node.js installation. For more information and updates please see our website - http://reorjs.com.

a shared memory allocator that provides a simple interface for named shared memory segments; shared memory between any processes; provides shared memory queues; does not use the same address between processes; fast structured arena file scales well

SimIS presents an agent-based simulation environment from multiagent research to simulate Internet-of-Services systems. The simulation environment bases on Repast Simphony 1.2 (http://repast.sourceforge.net/).

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. NeuraNEP handles microthread scheduling, synchronization, distribution and communication. This project is a fork of SpikeOS (sourceforge.net/projects/spikeos) and represents a major update to that code base, including a scripting interface and low-level rewrite of several components. SpikeOS was oriented towards computational modeling. NeuraNEP is oriented toward neural network research.