Optimization Strategies of Data Processing Algorithms under Multi-Core Architecture

Multi-core processors, especially the single chip multi-processors (CMP), can provide strong parallel resources of sharing memory. However, the majority of programs and algorithms from single-core processors can not make full use of computing resources of multi-core architecture. Therefore, according to some characteristics of multi-core architecture, researchers should optimize those algorithms and substantially increase the performance of algorithms. This paper reviews related optimization strategies of data processing algorithms on multi-core processors around several aspects, including improving the locality of programs, decreasing cache access conflict, enhancing the thread parallelism, taking advantage of single instruction multiple data (SIMD) parallelism and optimizing bandwidth usage. In addtion, it summarizes and comments on the algorithms on multi-core processors. Finally, it introduces several interesting issues that people should address and predicts the prospect of the research on multi-core processors in future.