Muutke küpsiste eelistusi

E-raamat: Semiconductor Memory Devices and Circuits [Taylor & Francis e-raamat]

  • Formaat: 198 pages, 144 Line drawings, black and white; 41 Halftones, black and white; 185 Illustrations, black and white
  • Ilmumisaeg: 15-Apr-2022
  • Kirjastus: CRC Press
  • ISBN-13: 9781003138747
Teised raamatud teemal:
  • Taylor & Francis e-raamat
  • Hind: 170,80 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 244,00 €
  • Säästad 30%
  • Formaat: 198 pages, 144 Line drawings, black and white; 41 Halftones, black and white; 185 Illustrations, black and white
  • Ilmumisaeg: 15-Apr-2022
  • Kirjastus: CRC Press
  • ISBN-13: 9781003138747
Teised raamatud teemal:
This book covers semiconductor memory technologies from device bit-cell structures to memory array design with an emphasis on recent industry scaling trends and cutting-edge technologies. The first part of the book discusses the mainstream semiconductor memory technologies. The second part of the book discusses the emerging memory candidates that may have the potential to change the memory hierarchy, and surveys new applications of memory technologies for machine/deep learning applications. This book is intended for graduate students in electrical and computer engineering programs and researchers or industry professionals in semiconductors and microelectronics.











Explains the design of basic memory bit-cells including 6-transistor SRAM, 1-transistor-1-capacitor DRAM, and floating gate/charge trap FLASH transistor







Examines the design of the peripheral circuits including the sense amplifier and array-level organization for the memory array





Examines industry trends of memory technologies such as FinFET based SRAM, High-Bandwidth-Memory (HBM), 3D NAND Flash, and 3D X-point array





Discusses the prospects and challenges of emerging memory technologies such as PCM, RRAM, STT-MRAM/SOT-MRAM and FeRAM/FeFET





Explores the new applications such as in-memory computing for AI hardware acceleration.
1. Semiconductor Memory Devices and Circuits.
2. SRAM.
3. DRAM.
4. FLASH
Memory.
5. Emerging Non-volatile Memories
Shimeng Yu is currently an associate professor of electrical and computer engineering at the Georgia Institute of Technology.