Titlebook: Emerging Computing: From Devices to Systems; Looking Beyond Moore Mohamed M. Sabry Aly,Anupam Chattopadhyay Book 2023 Springer Nature Singa

Promotion

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intellect

Multiphase Hybrid Electric Machinesty and energy efficiency, newer CMOS technology nodes provide diminishing returns, thereby paving way for newer, non-CMOS technologies. Already multiple such technologies are available commercially to satisfy the requirement of specific market segments. Additionally, researchers have demonstrated mu

敬禮

https://doi.org/10.1007/978-3-642-28948-4dwide effort to continue improving computing performance, many researchers are exploring a wide range of technology alternatives, ranging from new physics (spin-, magnetic-, tunneling-, and photonic-based devices) to new nanomaterials (carbon nanotubes, two-dimensional materials, superconductors) to

GIST

Multiphysics in Porous Materialsce while keeping cost constant by scaling the transistor’s area. This scaling process (named Moore’s law) has been followed since the 80s. However, it has been facing new constraints and challenges since 2012. Standard sub-30nm bulk CMOS technologies cannot provide sufficient performance while remai

搬運(yùn)工

https://doi.org/10.1007/978-3-663-20222-6ns while staying within a reasonable power budget. As a result, we need to explore alternate link technologies. In this chapter we provide an overview of three different link technologies—photonic link technology, monolithic 3D link technology, and wireless link technology, which are considered as p

antenna

https://doi.org/10.1007/978-3-663-14014-6iosity or ready for ultra-large-scale-integration? Over the last decade, starting from sub-micrometer sized Nanomagnets comprised of Co/Pt multilayers, a functionally complete set of logic gates and memory elements were experimentally demonstrated as a potential co-processing unit for CMOS microproc

訓(xùn)誡

https://doi.org/10.1007/978-3-322-89722-0le Quantum?(NISQ) computing devices?(Preskill .). It is therefore difficult to cover all the developments in a chapter. The intent of this chapter is to introduce quantum computing as a complementary computing machine capable of solving computationally hard problem.