Resource utilization is one of the emerging problems in many-chip SSDs. In this paper, we propose Sprinkler, a novel device-level SSD controller, which targets maximizing resource utilization and achieving high performance without additional NAND flash chips. Specifically, Sprinkler relaxes parallelism dependency by scheduling I/O requests based on internal resource layout rather than the order imposed by the device-level queue. In addition, Sprinkler improves flash-level parallelism and reduces the number of transactions (i.e., improves transactional-locality) by over-committing flash memory requests to specific resources. Our extensive experimental evaluation using a cycle-accurate large-scale SSD simulation framework shows that a many-chip SSD equipped with our Sprinkler provides at least 56.6% shorter latency and 1.8 ~ 2.2 times better throughput than the state-of-the-art SSD controllers. Further, it improves overall resource utilization by 68.8% under different I/O request patterns and provides, on average, 80.2% more flash-level parallelism by reducing half of the flash memory requests at runtime.
@article{arxiv.1705.04627,
title = {Sprinkler: Maximizing Resource Utilization in Many-Chip Solid State Disks},
author = {Myoungsoo Jung and Mahmut T. Kandemir},
journal= {arXiv preprint arXiv:1705.04627},
year = {2017}
}
Comments
This paper is published at 20th IEEE International Symposium On High Performance Computer Architecture