Data Movement and Aggregation in Flash Memories Conference Paper uri icon

abstract

  • NAND flash memories have become the most widely used type of non-volatile memories. In a NAND flash memory, every block of memory cells consists of numerous pages, and rewriting a single page requires the whole block to be erased. As block erasures significantly reduce the longevity, speed and power efficiency of flash memories, it is critical to minimize the number of erasures when data are reorganized. This leads to the data movement problem, where data need to be switched in blocks, and the objective is to minimize the number of block erasures. It has been shown that optimal solutions can be obtained by coding. However, coding-based algorithms with the minimum coding complexity still remain an important topic to study. In this paper, we present a very efficient data movement algorithm with coding over GF(2) and with the minimum storage requirement. We also study data movement with more auxiliary blocks and present its corresponding solution. Furthermore, we extend the study to the data aggregation problem, where data can not only be moved but also aggregated. We present both non-coding and coding-based solutions, and rigorously prove the performance gain by using coding. 2010 IEEE.

name of conference

  • 2010 IEEE International Symposium on Information Theory

published proceedings

  • 2010 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY

author list (cited authors)

  • Jiang, A. A., Langberg, M., Mateescu, R., & Bruck, J.

citation count

  • 0

complete list of authors

  • Jiang, Anxiao Andrew||Langberg, Michael||Mateescu, Robert||Bruck, Jehoshua

publication date

  • June 2010