Design of parallel implementations by means of abstract dynamic critical path based profiling of complex sequential algorithms

This paper presents a methodology of parallel implementations design that starts with abstract sequential descriptions of complex systems when no any parallel solutions have been taken and solves dynamically at real input data very complex tasks that are typical for system-level design. Critical path and parallelization potential based profiling of large sequential algorithms on data flow execution graphs is the kernel of methodology that enables to search for optimal (sub-optimal) parallel implementation solutions at very abstract level of design flow. Experimental results obtained on the critical path and parallelization potential based profiling of MPEG4 video codec and subsequent performance analysis of possible parallel implementations prove usefulness and effectiveness of the developed methodology and tool.