Performance modeling of parallel applications on MPSoCs

Abstract

Abstract-In this paper we present a new technique for automatically measuring the performance of tasks, functions or arbitrary parts of a program on a multiprocessor embedded system. The technique instruments the tasks described by OpenMP, used to represent the task parallelism, while ad hoc pragmas in the source indicate other pieces of code to profile. The annotations and the instrumentation are completely target-independent, so the same code can be measured on different target architectures, on simulators or on prototypes.We validate the approach on a single and on a dual LEON 3 platform synthesized on FPGA, demonstrating a low instrumentation overhead. We show how the information obtained with this technique can be easily exploited in a Hardware/Software design space exploration tool, by estimating, with good accuracy, the speed-up of a parallel applications given the profiling on the single processor prototype.

Design methodologies for resource management of many-core embedded systems

“…In the absence of a relevant model, the performance of the applications would be unpredictable and thus the allocation of resources would result in frequent sub-optimal decisions. In general, providing such a model is a very challenging scientific research issue [139,38], a fact that contributed to the adoption of malleable parallel application model for the development of DRTRM.…”