A task-uncoordinated distributed dataflow model for scalable high performance parallel program execution

摘要

We propose a distributed dataflow execution model which utilizes a distributed dictionary for data memoization, allowing each parallel task to schedule instructions without direct inter task coordination. We provide a description of the proposed model, including autonomous dataflow task selection. We also describe a set of optimization strategies which improve overall throughput of stencil programs executed using this model on modern multi-core and vectorized architectures. (C) 2015 Elsevier B.V. All rights reserved.