Search Results for "concurrent"

Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing.

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.

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 and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security

FastDHT is high performance DHT ( distributed hash table ) which based key value pairs. Storage use Berkeley DB, and network IO use libevent. It can store mass key value pairs such as filename mapping, session data and user related data.

TeleScope is the efficient intensive-load XML data stream broker, replicator and simple event processing platform (SEP) written in C for the Fedora 17-18, Slackware 13-14, Red Hat Enterprise Linux 6 (RHEL-6) Linux distributions. The platform is intended to be operated upon the single number/word values and is not meant to be deployed for full-text XML stream analysis. TeleScope has internal query language with a set of standard logical operators that allows to construct relatively complex...

Project provides a set of concurrent building blocks (Java & C/C++) that can be used to develop parallel/multi-threaded applications. Components are grouped into 4 categories: 1.Data Structures 2. Parallel Patterns 3.Parallel functions 4.Atomics and STM

LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.

Mrtools (Multi remote tools) are a set of multi-threaded system tools to manage large distributed environments including file distribution collection and concurrent shell script or command execution. MrTools is written in Perl and utilizes ssh and rsync.

CoDeK - Java Concurrent Development frameworK is a very simple, open-source, academic java library aimed to help the development of Java multi-threading concurrent applications.

growler is a C++-based distributed object and event architecture. Its primary application has been in support of interactive, distributed visualization, "concurrent visualization", and computational steering.

MultiJADS is a domain independent multiagent active design documents shell. It uses multiagent technology to support activities in concurrent and distributed design systems and is based on the Active Design Documents (ADD) approach.

Raindrop is a Java based framework based on SEDA (Staged Event Driven Architecture) principles. It focuses on providing highly concurrent server side throughput by managing and controlling Thread usage and concurrency primitives.

The aim of our project is to create a portable microkernel and a set of OS services that allow good local performance, multiple concurrent operative system personalities (ie UNIX and a native interface) and easy integration of distributed components.

The DataTime Process Framework is intended to support the processing of time-based data in a modular, concurrent, distributed and extensible manner. C++, using YARP, ACE, Qt and MUSCLE on Linux, OSX, Windows and Solaris.

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.

Chor is a strongly-typed choreography programming language for distributed systems. In Chor, the behaviour of a system is written down as a global program (a choreography) where all the message exchanges between the participants are explicit. Choreographies are statically checked against protocol specifications, given as types, enabling type-directed global programming. Finally, Chor supports the automatic generation of systems from a choreography. With Chor, you do not have to worry about...