Name
Abstract | ||
|---|---|---|
NAND-based solid-state disks (SSDs) are known for their superior random read/write performance due to the high degrees of multi-chip parallelism they exhibit. Currently, as the chip density increases dramatically, fewer 3D NAND chips are needed to build an SSD compared to the previous generation chips. As a result, SSDs can be made more compact. However, this decrease in the number of chips also results in reduced overall throughput, and prevents 3D NAND high density SSDs from being widely-adopted. We analyzed 600 storage workloads, and our analysis revealed that the small read operations suffer significant performance degradation due to reduced chip-level parallelism in newer 3D NAND SSDs. The main question is whether some of the inter-chip parallelism lost in these new SSDs (due to the reduced chip count) can be won back by enhancing intra-chip parallelism. Motivated by this question, we propose a novel SOML (Single-Operation-Multiple-Location) read operation, which can perform several small intra-chip read operations to different locations simultaneously, so that multiple requests can be serviced in parallel, thereby mitigating the parallelism-related bottlenecks. A corresponding SOML read scheduling algorithm is also proposed to fully utilize the SOML read. Our experimental results with various storage workloads indicate that, the SOML read-based SSD with 8 chips can outperform the baseline SSD with 16 chips.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3297858.3304035 | Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems |
Keywords | Field | DocType |
3D NAND, SSD, parallelism, request scheduling | Computer science,Scheduling (computing),Parallel computing,High density,Chip,NAND gate,Throughput,Granularity | Conference |
ISBN | Citations | PageRank |
978-1-4503-6240-5 | 1 | 0.35 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chun-Yi Liu | 1 | 2 | 1.71 |
| Jagadish Kotra | 2 | 60 | 8.00 |
| Myoungsoo Jung | 3 | 7 | 4.51 |
| Mahmut T. Kandemir | 4 | 7371 | 568.54 |
| Chita R. Das | 5 | 1467 | 80.03 |