Muutke küpsiste eelistusi

Green Computing with Emerging Memory: Low-Power Computation for Social Innovation 2012 [Kõva köide]

Edited by , Edited by
  • Formaat: Hardback, 213 pages, kõrgus x laius: 235x155 mm, kaal: 4616 g, VII, 213 p., 1 Hardback
  • Ilmumisaeg: 27-Sep-2012
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1461408113
  • ISBN-13: 9781461408116
  • Kõva köide
  • Hind: 95,02 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 111,79 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 213 pages, kõrgus x laius: 235x155 mm, kaal: 4616 g, VII, 213 p., 1 Hardback
  • Ilmumisaeg: 27-Sep-2012
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1461408113
  • ISBN-13: 9781461408116
This book describes computing innovation, using non-volatile memory for a sustainable world. It appeals to both computing engineers and device engineers by describing a new means of lower power computing innovation, without sacrificing performance over conventional low-voltage operation. Readers will be introduced to methods of design and implementation for non-volatile memory which allow computing equipment to be turned off normally when not in use and to be turned on instantly to operate with full performance when needed.

This volume describes computing innovation using non-volatile memory for a sustainable world. The text presents methods of design and implementation for non-volatile memory, allowing devices to be turned off normally when not in use, yet operate with full performance when needed.
1 Introduction
1(8)
Takayuki Kawahara
Hiroyuki Mizuno
2 Low-Power Electron Devices
9(26)
Nobuyuki Sugii
3 Low-Power Spin Devices
35(24)
Kenchi Ito
4 Low-Power SRAM
59(28)
Masanao Yamaoka
5 Low-Power DRAM
87(24)
Akira Kotabe
6 Low-Power NV-RAM
111(30)
Riichiro Takemura
7 On-Chip Power Gating Technique
141(42)
Yusuke Kanno
8 Low Power Processing with NV-RAM
183(24)
Takayuki Kawahara
Chihiro Yoshimura
9 Closing
207(4)
Takayuki Kawahara
Hiroyuki Mizuno
Index 211