NDLI: Efficient Handling of Arrays in Dataflow Process Networks

Content Provider	IEEE Xplore Digital Library
Author	Baudisch, D. Brandt, J. Schneider, K.
Copyright Year	2012
Abstract	Dataflow process networks (DPN) have been proposed as a programming model for distributed parallel systems that have communication paths with unpredictable latencies. The purely data-driven execution of DPNs does not require a global coordination and therefore allows one to easily map DPNs to many parallel hardware and software architectures with distributed memories. Problems due to shared memory communication like data races do not exist since the communication is done via point-to-point FIFO buffers between the process nodes. On the other hand, this distributed programming model leads to high communication costs if large data structures like arrays have to be communicated between nodes. This paper addresses the reduction of the communication costs due to arrays that are processed by -- and therefore sent between -- DPN nodes. The presented methods are given at a high level of abstraction and do not impose specific constraints on the used target architectures. Our experimental results show clearly the advantage of our approach compared to the standard message passing between the nodes.
Starting Page	1395
Ending Page	1402
File Size	331485
Page Count	8
File Format	PDF
ISBN	9781467321648
DOI	10.1109/HPCC.2012.205
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-25
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Embedded systems DPN Computational modeling efficient Dataflow Process Networks Writing Programming Hardware handling arrays Arrays communication
Content Type	Text
Resource Type	Article

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