Details

Autor(en) / Beteiligte

• Chen, Xianzhang
• Qingfeng, Zhuge
• Sun, Qiang
• Sha, Edwin
• Gu, Shouzhen
• Yang, Chaoshu
• Xue, Chun

Titel

A Wear-Leveling-Aware Fine-Grained Allocator for Non-Volatile Memory

Ist Teil von

• 2019 56th ACM/IEEE Design Automation Conference (DAC), 2019, p.1-6

Ort / Verlag

ACM

Erscheinungsjahr

2019

Link zum Volltext

Quelle

ACM Digital Library Complete

Beschreibungen/Notizen

• Emerging non-volatile memories (NVMs) are promising main memory for their advanced characteristics. However, the low endurance of NVM cells makes them vulnerable to frequent fine-grained updates. This paper proposes a Wear-leveling Aware Fine-grained Allocator (WAFA) for NVM. WAFA divides pages into basic memory units to support fine-grained updates. WAFA allocates the basic memory units of a page in a rotational manner to distribute fine-grained updates evenly on memory cells. The fragmented basic memory units of each page caused by the memory allocation and deallocation operations are reorganized by reform operation. We implement WAFA in Linux kernel 4.4.4. Experimental results show that WAFA can reduce 81.1% and 40.1% of the total writes of pages over NVMalloc and nvm_alloc, the state-of-the-art wear-conscious allocator for NVM. Meanwhile, WAFA shows 48.6% and 42.3% performance improvement over NVMalloc and nvm_alloc, respectively.