TY - GEN
T1 - GSSA
T2 - 27th Annual IEEE International Symposium on High Performance Computer Architecture, HPCA 2021
AU - Liu, Chun Yi
AU - Lee, Yunju
AU - Choi, Wonil
AU - Jung, Myoungsoo
AU - Kandemir, Mahmut Taylan
AU - Das, Chita
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/2
Y1 - 2021/2
N2 - The high density of 3D NAND-based SSDs comes with longer write latencies due to the increasing program complexity. To address this write performance degradation issue, NAND flash manufacturers implement a 3D NAND-specific full-sequence program (FSP) operation. The FSP can program multiple-bit information into a cell simultaneously with the same latency as the baseline program operation, thereby dramatically boosting the write performance. However, directly adopting the (large granularity) FSP operation in SSD firmware can result in a lifetime degradation problem, where small writes are amplified to large granularities with a significant fraction of empty data. This problem cannot completely be mitigated by the DRAM buffer in the SSDs since the 'sync' commands from the host prevent the DRAM buffer from accumulating enough written data. To solve this FSP-induced performance/lifetime dilemma, in this work, we propose and evaluate GSSA (Generalized and Specialized Scramble Allocation), a novel written-data allocation scheme in SSD firmware, which considers both various 3D NAND program operations and the internal 3D NAND flash architecture. By adopting GSSA, SSDs can enjoy the performance benefits brought by the FSP without excessively consuming the lifetime. Our experimental evaluations reveal that GSSA can achieve the throughput and the spent-lifetime of the best-performance and best-lifetime single granularity schemes, respectively.
AB - The high density of 3D NAND-based SSDs comes with longer write latencies due to the increasing program complexity. To address this write performance degradation issue, NAND flash manufacturers implement a 3D NAND-specific full-sequence program (FSP) operation. The FSP can program multiple-bit information into a cell simultaneously with the same latency as the baseline program operation, thereby dramatically boosting the write performance. However, directly adopting the (large granularity) FSP operation in SSD firmware can result in a lifetime degradation problem, where small writes are amplified to large granularities with a significant fraction of empty data. This problem cannot completely be mitigated by the DRAM buffer in the SSDs since the 'sync' commands from the host prevent the DRAM buffer from accumulating enough written data. To solve this FSP-induced performance/lifetime dilemma, in this work, we propose and evaluate GSSA (Generalized and Specialized Scramble Allocation), a novel written-data allocation scheme in SSD firmware, which considers both various 3D NAND program operations and the internal 3D NAND flash architecture. By adopting GSSA, SSDs can enjoy the performance benefits brought by the FSP without excessively consuming the lifetime. Our experimental evaluations reveal that GSSA can achieve the throughput and the spent-lifetime of the best-performance and best-lifetime single granularity schemes, respectively.
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U2 - 10.1109/HPCA51647.2021.00043
DO - 10.1109/HPCA51647.2021.00043
M3 - Conference contribution
AN - SCOPUS:85105012490
T3 - Proceedings - International Symposium on High-Performance Computer Architecture
SP - 426
EP - 439
BT - Proceeding - 27th IEEE International Symposium on High Performance Computer Architecture, HPCA 2021
PB - IEEE Computer Society
Y2 - 27 February 2021 through 1 March 2021
ER -