Multi-Mode Pipelined MPSoCs for Streaming Applications

In this paper, we propose a design flow for the pipelined paradigm of Multi-Processor System on Chips (MPSoCs) targeting multiple streaming applications. A multi-mode pipelined MPSoC, used as a streaming accelerator, executes multiple, mutually exclusive applications through modes where each mode refers to the execution of one application. We model each application as a directed graph. The challenge is to merge application graphs into a single graph so that the multi-mode pipelined MPSoC derived from the merged graph contains minimal resources. We solve this problem by finding maximal overlap between application graphs. Three heuristics are proposed where two of them greedily merge application graphs while the third one finds an optimal merging at the cost of higher running time. The results indicate significant area saving (up to 62% processor area, 57% FIFO area and 44 processor/ FIFO ports) with minuscule degradation of system throughput (up to 2%) and latency (up to 2%) and increase in energy values (up to 3%) when compared to widely used approach of designing distinct pipelined MPSoCs for individual applications. Our work is the first step in the direction of multi-mode pipelined MPSoCs, and the results demonstrate the usefulness of resource sharing among pipelined MPSoCs based streaming accelerators in a multimedia platform.