Deep-Submicron CMOS ICs - From Basics to ASICs by Harry Veendrick

By Harry Veendrick

These days, CMOS applied sciences account for nearly ninety% of all built-in circuits (ICs). This publication offers an important creation to CMOS ICs. The contents of this e-book are dependent upon a earlier ebook, entitled 'MOS Ics', which used to be released in Dutch and English through Delta Press (Amerongen, The Netherlands, 1990) and VCH (Weinheim, Germany, 1992), respectively.

This e-book includes state of the art fabric, but additionally makes a speciality of elements of scaling as much as and past 0.1 mm CMOS applied sciences and designs. It truly describes the elemental CMOS working rules and provides monstrous perception into numerous points of layout, implementation and alertness. not like different works on this subject, the booklet explores all linked disciplines of deep-submicron CMOS ICs, together with physics, layout, know-how and packaging, low-power layout and sign integrity. The textual content is predicated upon in-house Philips courseware, which, thus far, has been accomplished by way of greater than 1500 engineers. rigorously dependent and enriched by way of countless numbers of figures, photograhs and in-depth workouts, the e-book is well-suited for the aim of self-study.

This moment variation comprises a few corrections and is totally up to date with admire to the former one. within the one-and-a-half years of its existance, the 1st version has already been utilized in greater than ten in-house classes. a number of typing mistakes and so on, which confirmed up in the course of those classes, were corrected. furthermore, lots of the chapters were up-to-date with cutting-edge fabric. Numbers that describe developments and roadmaps were up-to-date besides, to allow the contents of this e-book be helpful for no less than one other 5 years.

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The results are transferred back to the memory units after the computing. In the STT-MFA circuit based on “logic-in-memory” architecture, logic operations are processed directly with the magnetic data stored in MTJs and Current-Induced Magnetic Switching for High-Performance Computing 33 the addition result is written to other MTJs for the next operations. Long latency and high dynamic power due to data moving can be significantly economized. For example, the data transfer energy (~1 pJ/mm/bit @22 nm [1]) becomes much lower thanks to the shorter distance between memory and computing unit, which is about some μm or below in STT-MFA instead of some mm for CMOS only logic circuit.

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