The future of computing beyond Moore's Law.

Moore's Law is a techno-economic model that has enabled the information technology industry to double the performance and functionality of digital electronics roughly every 2 years within a fixed cost, power and area. Advances in silicon lithography have enabled this exponential miniaturization of electronics, but, as transistors reach atomic scale and fabrication costs continue to rise, the classical technological driver that has underpinned Moore's Law for 50 years is failing and is anticipated to flatten by 2025. This article provides an updated view of what a post-exascale system will look like and the challenges ahead, based on our most recent understanding of technology roadmaps. It also discusses the tapering of historical improvements, and how it affects options available to continue scaling of successors to the first exascale machine. Lastly, this article covers the many different opportunities and strategies available to continue computing performance improvements in the absence of historical technology drivers. This article is part of a discussion meeting issue 'Numerical algorithms for high-performance computational science'

An Exploration into Technological Capabilities among early stage Indian product based Telecom start-ups

New technology based start-ups play a very important role in developing the economy of a country. In India, telecom sector has seen unprecedented growth over the last decade and this has led to emergence of several telecom related start-ups. However, product based B2B start-ups are rare and existing ones have to undergo several challenges in commercializing. Surprisingly not much research work has been undertaken in identifying capabilities among early stage start-ups although the early phase represents a very crucial phase for product based firms and has been known to determine the success or failure for start-ups. Present study explores the technological capabilities that enable commercialization among such early stage start-ups by adopting a multiple case (four independent cases) based inductive methodology with Indian telecom start-ups as the context. We have identified architectural design, algorithmic implementation and product adaptation as components of technological capability of such start-ups. We further drill in to each of the sub-components of the technological capabilities to unearth their antecedents and peculiarities in telecom product company context. As a result we also present a classification scheme for studying the product architecture in the telecom context. We analyze and point out differences in technological capability among telecom start-ups vis-�-vis established firms in the sector .