Facilitating emerging non-volatile memories in next-generation memory system design : architecture-level and application-level perspectives
- Degree Grantor:
- University of California, Santa Barbara. Electrical & Computer Engineering
- Degree Supervisor:
- Yuan Xie
- Place of Publication:
- [Santa Barbara, Calif.]
- Publisher:
- University of California, Santa Barbara
- Creation Date:
- 2016
- Issued Date:
- 2016
- Topics:
- Computer engineering
- Keywords:
- Non-volatile memory,
Memory system design,
Phase change memory,
STT-RAM, and
ReRAM - Genres:
- Online resources and Dissertations, Academic
- Dissertation:
- Ph.D.--University of California, Santa Barbara, 2016
- Description:
This dissertation focuses on three types of emerging NVMs, spin-transfer torque RAM (STT-RAM), phase change memory (PCM), and metal-oxide resistive RAM (ReRAM). STT-RAM has been identified as the best replacement of SRAM to build large-scale and low-power on-chip caches and also an energy-efficient alternative to DRAM as main memory. PCM and ReRAM have been considered to be promising technologies for building future large-scale and low-power main memory systems. This dissertation investigates two aspects to facilitate them in next-generation memory system design, architecture-level and application-level perspectives. First, multi-level cell (MLC) STT-RAM based cache design is optimized by using data encoding and data compression. Second, MLC STT-RAM is utilized as persistent main memory for fast and energy-efficient local checkpointing. Third, the commonly used database indexing algorithm, B+tree, is redesigned to be NVM-friendly. Forth, a novel processing-in-memory architecture built on ReRAM based main memory is proposed to accelerate neural network applications.
- Physical Description:
- 1 online resource (143 pages)
- Format:
- Text
- Collection(s):
- UCSB electronic theses and dissertations
- Other Versions:
- http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10159776
- ARK:
- ark:/48907/f3c53kwr
- ISBN:
- 9781369147049
- Catalog System Number:
- 990046968120203776
- Copyright:
- Ping Chi, 2016
- Rights:
- In Copyright
- Copyright Holder:
- Ping Chi
File | Description |
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Access: Public access | |
Chi_ucsb_0035D_13054.pdf | pdf (Portable Document Format) |