Energy efficient task allocation for hybrid main memory architecture
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- 作者：Xiaojun Cai ; xj_cai@sdu.edu.cnAuthor Vitae ; Lei JuAuthor Vitae ; Xin LiAuthor Vitae ; Zhiyong ZhangAuthor Vitae ; Zhiping Jia ; jzp@sdu.edu.cnAuthor Vitae
- 关键词：DRAM ; PRAM ; Hybrid main memory architecture ; Task allocation
- 刊名：Journal of Systems Architecture
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：71
- 期：Complete
- 页码：12-22
- 全文大小：1524 K
- 卷排序：71
文摘
Compared with the conventional dynamic random access memory (DRAM), emerging non-volatile memory technologies provide better density and energy efficiency. However, current NVM devices typically suffer from high write power, long write latency and low write endurance. In this paper, we study the task allocation problem for the hybrid main memory architecture with both DRAM and PRAM, in order to leverage system performance and the energy consumption of the memory subsystem via assigning different memory devices for each individual task. For an embedded system with a static set of periodical tasks, we design an integer linear programming (ILP) based offline adaptive space allocation (offline-ASA) algorithm to obtain the optimal task allocation. Furthermore, we propose an online adaptive space allocation (online-ASA) algorithm for dynamic task set where arrivals of tasks are not known in advance. Experimental results show that our proposed schemes achieve 27.01% energy saving on average, with additional performance cost of 13.6%.