Many-core architectures of the future are likely to have distributed memory organizations and need fine grained concurrency management to be used effectively. The Self-adaptive Virtual Processor (SVP) is an abstract concurrent programming model which can provide this, but the model and its current implementations assume a single address space shared memory. We investigate and extend SVP to handle distributed environments, and discuss a prototype SVP implementation which transparently supports execution on heterogeneous distributed memory clusters over TCP/IP connections, while retaining the original SVP programming model.
@article{arxiv.1104.3876,
title = {Extending and Implementing the Self-adaptive Virtual Processor for Distributed Memory Architectures},
author = {Michiel W. van Tol and Juha Koivisto},
journal= {arXiv preprint arXiv:1104.3876},
year = {2011}
}