A Process Splitting Transformation For Kahn Process Networks
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A Process Splitting Transformation For Kahn Process Networks
Abstract. In this paper we present a process splitting transformation for Kahn process networks. Running applications written in this parallel pro-.
A Process Splitting Transformation For Kahn Process Networks Sjoerd Meijer, Bart Kienhuis
Alex Turjan, Erwin de Kock
Leiden Institute of Advanced Computer Science (LIACS) Niels Bohrweg 1 2333 CA Leiden The Netherlands
NXP Semiconductors High Tech Campus 46 5656 AE Eindhoven The Netherlands
{smeijer,kienhuis}@liacs.nl
{alex.turjan,erwin.de.kock}@nxp.com
Abstract In this paper we present a process splitting transformation for Kahn process networks. Running applications written in this parallel program specification on a multiprocessor architecture does not guarantee that the runtime requirements are met. Therefore, it may be necessary to further analyze and optimize Kahn process networks. In this paper, we will present a four-step transformation that results in a functionally equivalent process network, but with a changed and optimized network structure. The class of networks that can be handled is not restricted to static networks. The novelty of this approach is that it can also handle processes with dynamic program statements. We will illustrate the transformation prototyped in GCC for a JPEG decoder, showing a 21% performance improvements.
1.
In the communication between a producer and consumer pair, a Data Dependence function (DD-function) can be defined. It retrieves for an iteration point at the consumer side, the iteration point of the producer side where a token has been produced. For static affine nested loop programs (SANLP), the Compaan compiler [6] can determine the DD-function as depicted in Figure 2. For each Process P1
