Search Results for "virtual windows machine"
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9 projects for "virtual windows machine" with 2 filters applied:
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dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
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Glass Library
Glass is a library for distributed computing.
Glass is a library for distributed computing. It's written in C++ and widely portable. -
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OpenECP is an open source fork of the Enomaly Elastic Computing Platform (ECP) following its commercialisation. It is a web-based management platform for hypervisors which can be used to create "public" and "private" cloud computing environments.
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This project aims to modify Parallel Virtual Machine (PVM) to use benefits of RDMA-capable network interconnects, commonly used in HPC clusters.
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JVMCluster Features: - clusterable Java Virtual Machine (based on PVM) - uses CPPVM as adapter layer to PVM - object persistent layer integrated into JVM - memory management unit is based on integrated relational database - JDBC/ODBC api to acces
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Secure, effective and universal Virtual Operating System implementation; completely new VM design; simple but powerful rIPC mechanisms - see http://argante.sourceforge.net/advocacy.txt for more information.
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General purpose, cross-platform, high-latency, high availability (HA) daemon. HA is achieved by IP-takeover of the virtual/HA server(s) by one or more real/redundant servers. Requires Perl 5. Designed for ease of deployment (for a HA system :-).
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Freenomalism is a free, community based fork of the Enomalism web-based virtual infrastructure/cloud computing platform. The dashboard can help with issues including deployment planning, load balancing, migration, configuration management, and capacity.
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