Collage is a cross-platform C++ library for building heterogenous, distributed applications. Among other things, it is the cluster backend for the Equalizer parallel rendering framework. Collage provides an abstraction of different network connections, peer-to-peer messaging, node discovery, synchronization and high-performance, object-oriented, versioned data distribution. Collage is designed for low-overhead multi-threaded execution which allows applications to easily exploit multi-core architectures.
The API documentation can be found on eyescale.github.io. As with any open source project, the available source code, in particular the unit tests provide a reference for developing applications.
Technical questions can be posted to the Equalizer Developer Mailing List, or directly to email@example.com.
Commercial support, custom software development and porting services are available from Eyescale. Please contact firstname.lastname@example.org for further information.
Collage provides different levels of abstraction to facilitate the development distributed applications:
- Network Connections: stream-oriented point-to-point and reliable multicast connections for TCP/IP, SDP, InfiniBand RDMA, UDT, events, named and anonymous pipes, memory buffers and reliable multicast over UDP.
- Peer-to-Peer Messaging: Endian-safe node-to-node message communication with thread-aware message dispatch.
- Synchronization: Distributed barriers and synchronous messaging.
- Object data distribution: high-performance, object-oriented, versioned data distribution for C++ objects based on delta serialization.
Collage is a cross-platform library, designed to run on any modern operating system, including all Unix variants and the Windows operating system. Collage uses CMake to create a platform-specific build environment. The following platforms and build environments are tested:
- Linux: Ubuntu 14.04, RHEL 6.6 (Makefile, Ninja)
- Windows: 7 (Visual Studio 2012)
- Mac OS X: 10.8 (Makefile, Ninja)
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