Search Results for "concurrent"

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.

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.

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.

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...