Extending Amdahl’s Law for Heterogeneous Multicore Processor with Consideration of the Overhead of Data Preparation

We extend Amdahl’s law by considering the overhead of data preparation (ODP) for multicore systems, and apply it to three “traditional” multicore system scenarios (homogeneous symmetric multicore, asymmetric multicore, and dynamic multicore) and two new scenarios (heterogeneous CPU-GPU multicore and dynamic CPU-GPU multicore). It demonstrates that potential innovations in heterogeneous system architecture are indispensable to decrease ODP.