One of the great challenges of today's computer memory architectures has been their energy consumption. In this sense, DRAM technology has come close to its scalability limit due to energy issues. Thus, new technologies have emerged intending to replace DRAM as main memory. In this context, non-volatile memories emerge promising to be an alternative for low energy consumption memory systems. Due to the challenges of these new technologies, hybrid approaches have been a trend. When working with hybrid memories, there is a necessity for decisions in which memory modules each data should be stored. This decision must consider the data access profile and the characteristics of memory technology. Thus, this work presents the Intf-HybridMem architecture, a proposal for page migration in hybrid memories using fuzzy systems to support decision making. The fuzzy approach can model the uncertainties of the data access profile and the characteristics of the memory modules. The tests seek to identify the performance limit of the Intf-HybridMem through the use of an oracle mechanism. Results show that there is potential for exploring migration mechanisms with overhead of 0.18% and 0.39% in some scenarios.

当今计算机内存架构的最大挑战之一是其能耗。从这个意义上讲，由于能源问题，DRAM技术已经接近其可扩展性极限。因此，出现了旨在取代DRAM作为主存储器的新技术。在这种情况下，非易失性存储器有望成为低能耗存储器系统的替代方案。由于这些新技术的挑战，混合方法已成为一种趋势。当使用混合存储器时，必须决定每个数据应存储在哪个存储器模块中。该决定必须考虑数据访问配置文件和内存技术的特征。因此，这项工作提出了Intf-HybridMem架构，提出了使用模糊系统支持决策的混合内存中页面迁移的建议。模糊方法可以对数据访问配置文件的不确定性和内存模块的特性进行建模。这些测试试图通过使用Oracle机制来确定Intf-HybridMem的性能极限。结果表明，在某些情况下，有可能探索开销为0.18％和0.39％的迁移机制。