Search Results for "space"

DMTCP (Distributed MultiThreaded Checkpointing) transparently checkpoints a single-host or distributed computation in user-space -- with no modifications to user code or to the O/S. It works on most Linux applications, including Python, Matlab, R, GUI desktops, MPI, etc. It is robust and widely used (on Sourceforge since 2007). For the newest releases of DMTCP, please go to: https://github.com/dmtcp/dmtcp Among the applications supported by DMTCP are MPI (various implementations), OpenMP, MATLAB, Python, Perl, R, and many programming languages and shell scripting languages. ...

PUPS/P3 facilitates development of multi-process multi-host computations by providing tools to emulate colonies of homeostatic organisms. It permits persistent computation, homeostatic resource protection, and asychronous interprocess communication.

...Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. The links provided contain word vectors obtained from the respective corpora. If you want word vectors trained on massive web datasets, you need only download one of these text files! Pre-trained word vectors are made available under the Public Domain Dedication and License. If the web datasets above don't match the semantics of your end use case, you can train word vectors on your own corpus. ...

...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. ...

[ Design and Implementation of the Singhal token based mutual exclusion algorithm in kernel-space of FreeBSD ] | Data & Network Security Lab (DNSL) | Room 501, Floor 5, | Department of Computer Engineering | Sharif University of Technology | Azadi Ave., Tehran, Iran Vahid Khodabakhshi <vkhodabakhshi@ce.sharif.edu> Vahid Ranjbar <vranjbar@ce.sharif.edu> Also see the Acknowledgement file Please send bugs to our e-mail

...It is implemented as a loadable device driver to coordinate guest OS’ MMU with underlying hypervisor. In contrast to the popular ballooning mechanism, memory hotplug can dynamically expand a guest OS’s physical memory space beyond its maximum configured at booting time.

TeenyLime is a middleware simplifying the development of wireless sensor networks applications. The foundation for TeenyLime is the notion of tuple space, a repository of elementary sequences of typed fields, called tuples.

A novel Grid System which is Python based and Cell powered. By extending Namespace into GridSpace, any objects are accesable throughout the Grid. And the codes are distributed executed and be JIT compiled into Cell SPE instructions automatically.

Distributed Inter-Process Communication (DIPC) is a combination of a Linux kernel extension and user-space programs that allows the user to develop distributed applications very easily.

LinuxTuples is an open-source implementation of David Gelernter's idea of a tuple space, designed to run on a networked cluster of Linux machines.

omuscd is an User Space Cluster Daemon for use with the openMosix 2.6 kernel extension for single-system image clustering. The daemon provides process migration management and communication between networked computers to construct a cluster.

It is an implementation of Tuple-Space by using MPI library. Tuple-space is a logically shared memory in many parallel computing. It provides the appearance of a shared memory but do not require on underlying physical shared memory.

Simple distributed file system on user space, it is designed for Linux and Mac OS X