Throughput-driven synthesis of embedded software for pipelined execution on multicore architectures

Abstract

We present a methodology for pipelined software synthesis of streaming applications. First, we develop a versatile task assignment algorithm capable of optimizing realistically-arbitrary cost functions for two cores. The algorithm is exact (i.e., theoretically optimal) contrary to existing heuristics. Second, our approximation technique provides an adjustable knob to trade solution quality with algorithm runtime and memory. Third, we develop a recursive heuristic for more cores. FPGA-based emulated experiments validate our theoretical results. The exact algorithm yields 1.7 × throughput improvement. The approximation method offers a range of tradeoff points (e.g., 3 × faster with 20 × less memory) while degrading the throughput only 1% to 5%.