Dataflow Programs Analysis and Optimization Using Model Predictive Control Techniques : Two Examples of Bounded Buffer Scheduling: Deadlock Avoidance and Deadlock Recovery Strategies

The analysis of the trace graphs generated by dataflow program executions has been shown to be an effective tool for exploring and optimizing the design space of application programs on manycore/multicore platforms. In this work a new approach aiming at finding bounded buffer size configurations for implementations generated by dataflow programs is presented. The introduced method is based on an original transformation procedure which converts the execution trace graph into an event driven linear system made up by a Petri Net. A control theoretic approach based on Model Predictive Control methodologies is then applied to the obtained Petri Net system in order to effectively explore the dataflow program design space and find nearly optimal buffer dimensioning solutions leading to a deadlock free program execution. Two real challenging design case examples, namely a JPEG and a MPEG HEVC decoder, are introduced to show the effectiveness of the introduced approach