Projects tagged ‘distributed’ and ‘parallel’

Open MPI is a project that originated as the merging of technologies and resources from several other projects (FT- MPI, LA-MPI, LAM/MPI, and PACX-MPI) in order to build the best MPI library ... [More] available. A completely new MPI-2 compliant implementation, Open MPI offers advantages for system and software vendors, application developers, and computer science researchers. It is easy to use, and runs natively on a wide variety of operating systems, network interconnects, and batch/scheduling systems. [Less]

ProActive is the Java GRID middleware library (with Open Source code under GPL license) for parallel, distributed and multi-threaded computing. ProActive is the GRID Application Server for the ... [More] Enterprise. With a reduced set of simple primitives, ProActive provides a comprehensive API to simplify the programming of Grid Computing applications: distributed on Local Area Network (LAN), on clusters of workstations, or on Internet GRIDs. ProActive is only made of standard Java classes, and requires no changes to the Java Virtual Machine, no preprocessing or compiler modification, leaving programmers to write standard Java code. [Less]

MOAB is a component for representing and evaluating mesh data. MOAB can store structured and unstructured mesh, consisting of elements in the finite element “zoo”. The functional interface to MOAB ... [More] is simple yet powerful, allowing the representation of many types of metadata commonly found on the mesh. MOAB is optimized for efficiency in space and time, based on access to mesh in chunks rather than through individual entities, while also versatile enough to support individual entity access. MOAB implements the ITAPS iMesh interface; iMesh is a common interface to mesh data implemented by several different packages, including MOAB. Various tools like smoothing, adaptive mesh refinement, and parallel mesh communication are implemented on top of iMesh. [Less]

Project Kusu is the open source base for the next generation of Platform Open Cluster Stack 5 (OCS). It is designed from the ground up with the following goals in mind: * Simplified cluster ... [More] management, operation and deployment * Support for multiple Linux Distributions including Red Hat Enterprise Linux, CentOS, Fedora, SuSE Linux Enterprise Server, OpenSuSE and Ubuntu Linux * Modular and hybrid stack that transparently integrates open source and commercial software into a single consistent cluster operating environment * Standards-based, open and vendor-certified [Less]

Doovos is a new Open Source Distributed Object Oriented Operating System Design and implementation based on the Java Plateform. Actually, it is a try for designing a distributed operation system in ... [More] top of existing centralized/network OS. Designed OS will follow the object oriented architecture for redefining all OS resources (memory,process,file system,device,...etc.) in a highly distributed context. For academic purposes, design will try to propose the most configurable OS implementation allowing the test/validation and comparison of some distributed OS algorithms [Less]

Project Description Message Passing Interface (MPI) is the standard of message passing in a distributed computing environment. Its benefit for researchers is invaluable. The idea is to have many ... [More] machines on a high-speed network, clusters of computers running the same program. Recently, with the invention and adoption of multi-core CPU systems for desktops, it has become even more important. MPI makes even easier for people to build supercomputers by the usage of powerful computers, high speed networks and powerful libraries. The goal of MPI Tools is to make easy to write programs that runs on a cluster of machines. Also make the transition easy of existing programs in cluster. Using MPITools, it is possible to create distributed functional applications with F#. [Less]

The project Mandala helps the development of concurrent and/or distributed applications. It is based on the asynchronous reference concept which provide asynchronous and potentially remote method invocation.

Sector is a system infrastructure software that provides functionality for distributed data storage, access, and analysis/processing. It automatically manages large volumetric data across servers or ... [More] clusters, even those over distributed wide area high speed networks. Sector provides simple tools and APIs to access and/or process the data. Data and server locations are transparent to users, as the whole Sector network is a single networked super computer to the users. [Less]

C Application Framework. A parallel and distributed server/application development framework for C, POSIX, SUSv2/3 and other standards. NOTE: The project isn't finished yet, but I'm doing my best ... [More] effort to implement the proper and faster algorithms. [Less]

NIH ImageJ is a popular java based image processing and analysis application used heavily in biological research. Due to its open source nature, simple application programming interface (API) and ... [More] extensive plugin system, the research community as brought great efforts to provide a comprehensive vault of analysis tools for this application. Py4IJ works as a plugin for ImageJ by interfacing the core engine of the application with the Jython engine – a Java based python interpreter. This feature allows for Jython code (Python code in essence) to easily access all of ImageJ functions and through the use of the SRPy engine to merge these with the power of the mathematical analysis tools available in Python. Py4IJ provides an extendable integrated development environment (IDE) facilitating the parallel visualization and analysis of data both in Python, Jython and ImageJ. At this point we are still testing a Beta version of the algorithm, it will be released soon. [Less]