Parallel Optimization Strategies for MIC Heterogeneous Parallel Systems

Abstract

In the traditional multithread programming model, there is no dedicated performance optimization strategy for Many Integrated Core (MIC) heterogeneous system. To fully exploit the high computing power of MIC processor, this paper discusses the specific program porting and performance optimization strategies on the MIC heterogeneous parallel system based on the k-means application program. Experimental results show that the proposed porting and performance optimization strategies are effective, and can be able to guide the programmer to port and optimize applications effectively to MIC heterogeneous parallel system.