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Even elementary school students of today know that electronics can do fan tastic things. Electronic calculators make arithmetic easy. An electronic box connected to your TV set provides a wonderful array of games. Electron ic boxes can translate languages! Electronics has even changed watches from a pair of hands to a set of digits. Integrated circuit (IC) chips which use transistors to store information in binary form and perform bin ary arithmetic make all of this possible. In just a short twenty years the field of integrated circuits has progressed from a few transistors per chip to thousands of transistors per chip. Since the early 1960's, the field has progressed from chips containing several transistors performing simple functions such as OR and AND functions to chips presently available which contain thousands of transistors performing a wide range of memory, control and arithmetic functions. The number of special journal issues, conferences, workshops, seminars, etc. related to the field of IC's is large. l~hile no single volume could adequately summarize the field, this volume attempts to provide a summary of some of the important issues and factors for Very Large Scale Integra tion (VLSI) from the perspective of several authors deeply involved in the field. In the field of VLSI, composed of many facets and disciplines, the de mand for engineers, physicists and chemists trained in IC skills exceeds supply.
This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn’t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.
Mos devices and circuits - Integrated system fabrication - Data and control flow in systematic structures - Implementing integrated system designs : from circuit topology to patterning geometry to wafer fabrication - Overview of an LSI computer system, and the design of the OM2 data PATH CHIP - Architecture and design of system controllers, and the design of the OM2 controller CHIP - System timing - Highly concurrent systems - Physics of computational systems.