Factor-Based C-AMAT Analysis for Memory Optimization
Factor-Based C-AMAT Analysis for Memory Optimization
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DOI：
10.1007/978-3-319-66176-6_6
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发表时间：
2017-08
期刊：
影响因子：
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通讯作者：
Qi Yu;Libo Huang;Cheng Qian;Jianqiao Ma;Zhiying Wang
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文献类型：
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作者：
Qi Yu;Libo Huang;Cheng Qian;Jianqiao Ma;Zhiying Wang
“记忆问题”促进了提高记忆系统性能的研究，以及提出更准确的记忆度量的研究。C-AMAT是AMAT的扩展，它考虑了内存并发性，可以更准确地评估现代内存系统的性能。然而，与AMAT相比，用于计算C-AMAT的方法更加复杂，此外，需要额外的检测逻辑和寄存器来测量C-AMAT的参数，这导致该度量的高硬件开销。在本文中，我们提出了基于因素的C-AMAT（FC-AMAT），分析模型的基础上C-AMAT。FC-AMAT根据实际研究需求，将存储系统划分为多个因素，并使用因素优先的C-AMAT来评估对存储系统进行优化的效果。FC-AMAT算法通过对因子的C-AMAT进行选择，减少了测量因子参数的硬件开销，同时通过严格的校验保证了可接受的评估精度。不同的缓存配置进行了仿真，以验证FC-AMAT的有效性。实验结果表明，FC-AMAT算法在不影响评估精度的前提下，简化了检测逻辑，降低了存储开销，验证了FC-AMAT算法的有效性。
The “memory problem” promotes researches on improving performance of memory systems, as well as researches on proposing more accurate memory metrics. C-AMAT, an extension of AMAT that takes memory concurrency into consideration, can evaluate the performance of modern memory systems more accurately. However, compared to AMAT, the method for calculating C-AMAT is more complicated, besides, additional detecting logic and registers are required to measure parameters of C-AMAT, which incur high hardware overhead for this metric. In this paper, we propose Factor-Based C-AMAT (FC-AMAT), an analysis model based on C-AMAT. FC-AMAT divides a memory system into factors according to actual research demands, and uses factor’s-first C-AMAT to evaluate effects of optimizations applied to the memory system. By selecting factor’s C-AMAT, FC-AMAT can reduce the hardware overhead for measuring its parameters, meanwhile, it guarantees an acceptable evaluation accuracy through a rigorous check. Simulations with varied cache configurations were conducted to verify the usefulness of FC-AMAT. Experimental results show that FC-AMAT can simplify the detecting logic and reduce the storage cost for recording memory access phases, without sacrificing obvious evaluation accuracy, demonstrating the effectiveness of FC-AMAT.