Search Results for "computing" - Page 2
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Showing 148 open source projects for "computing"
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Wally
Distributed Stream Processing
...By eliminating infrastructure complexity, going from prototype to production has never been simpler. When we set out to build Wally, we had several high-level goals in mind. Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency data processing. Be portable and deploy easily (i.e., run on-prem or any cloud). Manage in-memory state for the application. Allow applications to scale as needed, even when they are live and up-and-running. ... -
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GPU, a Global Processing Unit
A framework for distributed computing
An extensible framework for distributed computing on P2P grids. We support peaceful free and open research and build an internet supercomputer. We render movies, solve Eternity puzzles, predict climate and improve a ~30 GHz cluster of clients. -
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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ChunJun
A data integration framework
...It can realize data synchronization and calculation between various heterogeneous data sources. ChunJun has been deployed and running stably in thousands of companies so far. Based on the real-time computing engine--Flink, and supports JSON template and SQL script configuration tasks. The SQL script is compatible with Flink SQL syntax. Supports a variety of heterogeneous data sources, and supports synchronization and calculation of more than 20 data sources such as MySQL, Oracle, SQLServer, Hive, Kudu, etc. Easy to expand, highly flexible, newly expanded data source plugins can integrate with existing data source plugins instantly, plugin developers do not need to care about the code logic of other plugins. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Madara
Middleware for distributed applications
The purpose of the project is to develop a portable programming framework that facilitates distributed and multi-threaded programming for C++, Java, and Python. MADARA was originally developed as an agent-based middleware specifically for real-time, distributed artificial intelligence, but is now more general purpose for distributed timing, control, knowledge and reasoning, and quality-of-service. MADARA is composed of several tools and middleware, and the main entry point into the system... -
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A framework to run MATLAB programs as batch jobs. Features a structured input description, integrity constraints and GUI.Independent parts of a job can execute in parallel on a cluster computer. Developed at Freiburg Brain Imaging (FBI) - http://fbi.uniklinik-freiburg.de/
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PREESM provides a complete framework for fast prototyping. It generates a simulation and an optimized multiprocessor code from graph descriptions of algorithm and architecture. Please visit the project homepage at http://preesm.sourceforge.net.
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Accord.NET Framework
Machine learning, computer vision, statistics and computing for .NET
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. The Accord.NET project provides... -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll... -
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Cuckoo Resource Adapter for SAP
JCA compatible Resource Adapter for SAP
Cuckoo is an open source Resource Adapter for SAP that is compatible to the Java Connector Architecture (JCA) version 1.5. It enables developers of Java EE applications to call functions in a SAP backend, making use of Java EE features like Container Managed Transactions and Security. -
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LAMA
Heterogeneous Software Development Accelerated
...LAMA's modular and extensible software design supports the developer on several levels, regardless of whether writing his own portable code with the Heterogeneous Computing Development Kit or using prepared functionality from the Linear Algebra Package, the user always gains high productivity and maximum performance. -
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Summingbird
Streaming MapReduce with Scalding and Storm
Summingbird is a streaming + batch hybrid computation framework developed by Twitter. Its aim is to let developers express data aggregation pipelines in a unified way, where the same logic can run either in real time (stream) or in batch mode, and the results can be merged or reconciled. In effect, Summingbird abstracts over multiple execution engines (such as Storm, Scalding, etc.) to provide one high-level program that composes transformations and aggregations, and then executes them in... -
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MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
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Jeuron
Jeuron Application Platform
The Jeuron Application Platform is a java based open source project released in December 2012 with the goal of providing a lightweight framework to assemble software components that would support the requirements of multiple projects and deployment scenarios while also providing an environment for testing and debugging. The platform is comprised of a set of packages which provide transport, messaging, configuration, and execution services designed to create a configurable, scalable, and... -
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QuickServer is an open source Java library/framework for quick creation of robust and multi-threaded, multi-client TCP server applications. With QuickServer one can just concentrate on just the application logic/protocol on hand.
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The Network-Integrated Multimedia Middleware (NMM) is a flow graph based multimedia framework that allows to create distributed multimedia applications: local and remote multimedia devices or software components can be combined.
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Compiere MFG+SCM Manufacturing Extended System (MES). Include Shop Floor Control, Supply chain management, Quality management, modbus interface, iReport barcode extension etc. Support batch and on demand manufacturing. Works alone or connected to ERP.
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Cray Containment Domains
Containment Domains are a framework for computational resiliency
CDs can be thought of as a mechanism to support fine-grained, hierarchical, application-directed, uncoordinated checkpoint and restore. Containment Domains (CDs) were created to allow an application to recover in the face of various types of component failures, including hard (e.g. persistent) and soft (e.g. transient) hardware failures, transient software failures, and complete node failures. -
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Diffusive
Task-oriented distributed computing framework
DIFFUSIVE HAS MOVED TO GITHUB: http://robphilipp.github.com/diffusive The goal of diffusive programming is to make task-oriented distributed computing easier by separating the execution logic from the distribution logic. Diffusive programming, defined by a set of six principles, is an approach for performing method-level, task-oriented distributed computing. In diffusive programming, any method can be marked for distribution, regardless of its signature. And marking a method is necessary and sufficient for its execution to be distributed. ... -
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CARTAGO-WS is a platform for developing SOA applications based on Web Services exploiting agent programming models and technologies.
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RPyC, or Remote Python Call, is a transparent and symmetrical python library for remote procedure calls, clustering and distributed-computing.
