Embedded Memories for Nano-Scale VLSIs

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Zhang, Kevin (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2009.
• Σειρά: Integrated Circuits and Systems,
• Θέματα: Engineering.; Computer hardware.; Computer memory systems.; Electrical engineering.; Electronics.; Microelectronics.; Electronic circuits.; Nanotechnology.; Circuits and Systems.; Electronics and Microelectronics, Instrumentation.; Memory Structures.; Computer Hardware.; Electrical Engineering.

 Embedded Memories for Nano-Scale VLSIs provides a comprehensive and in-depth view on the state-of-the-art embedded memory technologies. The material covers key technology attributes and advanced design techniques in nano-scale VLSI design. It also discusses how to make decisions concerning the right design tradeoffs in real product development. This book first provides an overview on the landscape and trend of embedded memory in various VLSI system designs, including high-performance microprocessor, low-power mobile handheld devices, micro-controllers, and various consumer electronics. It then shows an in-depth view on each different type of embedded memory technology, including high-speed SRAM, ultra-low-voltage and alternative SRAM, embedded DRAM, embedded nonvolatile memory, and emerging or so-called "universal" memories such as FeRAM and MRAM. Each topic includes coverage of the key technology attributes from a product application perspective, ranging from technology scaling challenges to advanced circuit techniques for achieving optimal design tradeoff in performance and power. VLSI systems are becoming increasingly dependent on on-die memory to provide adequate memory bandwidth for various applications and this book gives readers a broader view of this important field to help them to achieve their optimal design goals for different applications. Embedded Memories for Nano-Scale VLSIs is a valuable reference for engineers and academics in the field. 

 Embedded Memory Architecture for Low-Power Application Processor -- Embedded SRAM Design in Nanometer-Scale Technologies -- Ultra Low Voltage SRAM Design -- Embedded DRAM in Nano-scale Technologies -- Embedded Flash Memory -- Embedded Magnetic RAM -- FeRAM -- Statistical Blockade: Estimating Rare Event Statistics for Memories.