A system-level design methodology such as Daedalus provides designers with a forward synthesis flow for automated design, programming, and implementation of multiprocessor systems-on-chip. Daedalus... Show moreA system-level design methodology such as Daedalus provides designers with a forward synthesis flow for automated design, programming, and implementation of multiprocessor systems-on-chip. Daedalus employs the polyhedral process network model of computation to represent applications. These networks are automatically derived from sequential C code. A forward synthesis flow greatly increases designer productivity. Still, the designer needs to perform a time-consuming forward synthesis step to learn if a network satisfies his performance constraints. Furthermore, it is not trivial to select a set of transformations and transformation parameters for a network such that performance requirements are met. A forward synthesis flow thus solves only part of a design problem, as it does not provide fast feedback on the transformations a designer should apply to meet his performance constraints. This dissertation intro duces different performance estimation techniques for polyhedral process networks. The most promising technique is the profiling-based cprof technique that works directly on the sequential application code. This makes cprof an easy-to-use, robust, and fast technique, without the need to derive a polyhedral process network. This dissertation then discusses four transformations and analyzes factors that affect the efficacy of each transformation. Show less
The Polyhedral Process Network (PPN) is a suitable parallel model of computation (MoC) used to specify embedded streaming applications in a parallel form facilitating the efficient mapping onto... Show moreThe Polyhedral Process Network (PPN) is a suitable parallel model of computation (MoC) used to specify embedded streaming applications in a parallel form facilitating the efficient mapping onto embedded parallel execution platforms. Unfortunately, specifying an application using a parallel MoC is a very difficult and highly error-prone task. To overcome the associated difficulties, we have developed the pn compiler, which derives PPN specifications from sequential static affine nested loop programs (SANLPs). However, there are many applications that have adaptive and dynamic behavior which cannot be expressed as SANLPs. In order to handle such dynamic applications, in this dissertation we address an important question: whether some of the static restrictions of the SANLPs can be relaxed while keeping the ability to perform compile-time analysis and to derive PPNs in an automated way. Achieving this will significantly extend the range of applications that can be parallelized in an automated way. By studying different dynamic applications we distinguished three relaxations to SANLP programs that would allow one to specify dynamic applications as sequential programs. These relaxations allow dynamic if-conditions, for-loops with dynamic bounds and while-loops in a program. The first relaxation has already been considered. In this dissertation, we consider the other two more difficult relaxations. Show less
We use the polyhedral process network (PPN) model of computation to program and map streaming applications onto embedded Multi-Processor Systems on Chip (MPSoCs) platforms. The PPNs, which can be... Show moreWe use the polyhedral process network (PPN) model of computation to program and map streaming applications onto embedded Multi-Processor Systems on Chip (MPSoCs) platforms. The PPNs, which can be automatically derived from sequential program applications, do not necessarily meet the performance/resource constraints. A designer can therefore apply the process splitting transformations to increase program performance, and the process merging transformation to reduce the number of processes in a PPN. These transformations were defined, but a designer had many possibilities to apply a particular transformation, and these transformations can also be ordered in many different ways. In this dissertation, we define compile-time solution approaches that assist the designer in evaluating and applying process splitting and merging transformations in the most effective way. Show less
