Quick-and-Dirty: An Architecture for High-Performance Temporary Short Writes in MLC PCM
Published in IEEE Transactions on Computers (TC), 2019
Recommended citation: Quick-and-Dirty: An Architecture for High-Performance Temporary Short Writes in MLC PCM. Mingzhe Zhang, Lunkai Zhang, Lei Jiang, Frederic T Chong, Zhiyong Liu. IEEE Transactions on Computers (TC), Vol. 68, Issue 9, pp. 1365-1375.
Abstract
MLC PCM provides high-density data storage and extended data retention; therefore it is a promising alternative for DRAM main memory. However, its low write performance is a major obstacle to commercialization. One opportunity for improving the latency of MLC PCM writes is to use fewer SET iterations in a single write. Unfortunately, this comes with a cost: the data written by these short writes have remarkably shorter retentions and thus need frequent refreshes. As a result, it is impractical to use these short-latency, short-retention writes globally. In this paper, we analyze the temporal behavior of write operations in typical applications and show that the write operations are bursty in nature, that is, during some time intervals the memory is subject to a large number of writes, while during other time intervals there hardly any memory operations take place. Based on this observation, we propose Quick-and-Dirty (QnD), a lightweight scheme to improve the performance of MLC PCM. When the write performance becomes the system bottleneck, QnD performs some write operations using the short-latency, short-retention write mode. Then, when the memory system is relatively quiet, QnD uses idle-memory intervals to refresh the data written by short-latency, short-retention writes in order to mitigate the short retention problem. Our experimental results show that QnD improves performance by 30.9 percent on geometric mean while still providing acceptable memory lifetime (7.58 years on geometric mean). We also provide sensitivity studies of the aggressiveness, memory coverage and granularity of QnD technique.