Efficient Data Transfer in a Heterogeneous Multicore-Based CE Systems using Cache Performance Optimization

Multiple CPU and GPU cores are integrated together in a typical CE system with shared caches. As the CPU and GPU applications have different characteristics in cache accesses there can be performance penalty. This paper presents a bypass-based shared cache management method to improve such penalty in CE systems. This method dynamically analyzes the cache sensitive features of CPU and GPU application during the execution. It considers the current access characteristics of applications when dealing with the GPU access request, real time to determine whether the GPU application is accessing the memory or accessing the shared cache, through the dynamic adjustment to make it better to adapt to different applications.