Data locality-based mesh partitioning methods for dataflow machines

Hiba, Antal and Nagy, Zoltán and Ruszinkó, Miklós and Szolgay, Péter (2014) Data locality-based mesh partitioning methods for dataflow machines. In: 2014 14th International Workshop on Cellular Nanoscale Networks and their Applications - CNNA 2014. IEEE, Piscataway, pp. 1-2. ISBN 978-1-4799-6468-0 10.1109/CNNA.2014.6888599

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Abstract

Power efficiency became an important factor in High Performance Computing (HPC). FPGA-based dataflow machines are the best candidates for power efficient computing, because of the maximized memory bandwidth utilization, and user-defined optimal caching. However, input data streams are required with optimized data locality. This paper focuses on the possibilities of novel mesh partitioning techniques, which provide partitions with better data locality.

Item Type: Book Section
Uncontrolled Keywords: mesh partitioning; Dataflow machines
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Cellular Sensory and Optical Wave Computing Laboratory
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 11 Feb 2015 14:57
Last Modified: 11 Feb 2015 14:57
URI: http://eprints.sztaki.hu/id/eprint/8184

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