关键词: 异构架构, 融合, 共享末级缓存, 静态缓存划分

Abstract: Nowadays the development of the CPU and GPU has met a new bottleneck. “Combination” of the CPUs and GPUs on the same chip has become a new popular architectural trend. These new heterogeneous architectures put more pressure on shared resource management. Particularly, the management of Last-Level Cache（LLC） is very important to performance. Due to the different characteristics of the CPU and GPU applications, managing the shared LLC between CPUs and GPUs brings new challenges. In this paper, the GPU applications’ features are analyzed. And the half-to-half and optimal cache partition on the fused architecture are proposed by absorbing previous cache management schemes. Experimental results indicate that static cache partition can effectively avoid the interference between CPU and GPU applications. Compared to LRU, half-to-half and optimal cache partition improves performance by 7.68% and 11.68% respectively.

Key words: heterogeneous architecture, fusion, shared last-level cache, static cache partition