Platform and Mapping Methodology for Heterogeneous Multicore Processors

Abstract

Heterogeneous multi-core processors are attracted by various type of applications from low-power media applications to high-performance computing due to their capability of drawing strengths of different cores to improve the overall performance. However, the data transfer bottlenecks between different cores becomes a serious problem. This paper presents two key methodologies to solve the data transfer bottoleneck: memory allocation considering a addressing function constraint and task allocation based on algorithm transformation. Moreover, in order to help to explore accelerator architecture suitable for applications, this paper presents a platform based on FPGAs where circuity is reconfigured by users after fabrication.