MDST: Multiprocessor DSP Simulation Toolkit for Voice Processing Applications

In this paper, we propose a multiprocessor DSP simulation toolkit suitable for performance evaluation of data-parallel applications like voice processing. The proposed toolkit uses the benefits of multi-level parallelism and clustering. Different DSP clusters are considered for the multiprocessor DSP simulation engine in which the DSP processors are grouped to cooperate. Satisfying the communication requirements, two global and local communication engines (GCE and LCE) implement the real behavior of intra-and inter-cluster communications. Using efficient abstraction levels for interconnections reduces the simulation time significantly. Abstract communication modeling, cycle-accurate behavior, and multi-level controlling are the most important features of the proposed simulation platform. Performance of the simulator is verified by standard single- and multi-channel voice processing applications such as ITU-T G.729a speech codec.