Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

Goli, Mehdi, Garba, Michael T. and González-Vélez, Horacio (2012) Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow. In: 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS). IEEE, pp. 445-452. ISBN 9781467321648

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Abstract

Software pipelines permit the decomposition of a repetitive sequential process into a succession of distinguishable sub-processes called stages, each of which can be concurrently executed on a distinct processing element. This paper presents a heterogeneous streaming pipeline implementation using the FastFlow skeletal library for a numerical linear algebra code. By introducing minimal memory management, we implement a large-scale streaming application which allocates the different pipeline stages to multi-core CPU and multi-GPU resources in a cluster environment, demonstrating the suitability of the algorithmic skeleton approach to efficiently coordinate the pipeline operation. Our implementation shows that long- running heterogeneous pipelines can be effectively implemented in FastFlow.

Item Type:	Book Section
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	28 Oct 2014 14:30
Last Modified:	28 Oct 2014 14:34
URI:	https://norma.ncirl.ie/id/eprint/1685

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