摘要
数据密集型应用是一类以数据搜索、分析、传输和处理为主的应用。利用GPGPU-SIM模拟器模拟NVIDIA的Fermi架构,分析了Fermi存储结构与数据密集型应用的适应性关系,并给出其存储层次优化设计建议。
Data-intensive application is a class of application which mainly focuses on searching, analyzing, transporting and processing data. The paper simulates the NVIDIA Fermi architecture using GPGPU-SIM simulator, analyzes the adaptability of Ferrules memory architecture with data-intensive applications,and gives some advices regarding optimization design on memory hierarchy.
出处
《计算机工程与科学》
CSCD
北大核心
2014年第4期601-606,共6页
Computer Engineering & Science
基金
国家自然科学基金资助项目(61272097)
