Extending and Implementing the Self-adaptive Virtual Processor for Distributed Memory Architectures

2011/04/19 by M.W. van Tol, Michiel W. van Tol, van Tol, Michiel W. +2 · 1 citation
Computer Science · #Cloud Computing and Resource Management #Distributed #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC) #cs.DC

paper · pdf · doi:10.48550/arxiv.1104.3876

arxiv created 2011/04/19 · openalex publication_date 2011/04/19 · arxiv updated 2011/04/21 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/01

Abstract

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.

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