Feature Articles


Machine Learning Overview

Semiconductor Engineering presents an overview of recent trends in machine learning, based in part on a recent market survey. The field is undergoing a renaissance, with a variety of diverse approaches on both hardware and software levels. Systems may include heterogeneous mixtures of CPUs, GPUs, DPSs, FPGAs, and ASICs. Optimized approaches may differ between the initial learning phase and the subsequent interpretation phase (inferencing and estimation). Major current applications include autonomous vehicles and cloud-based artificial intelligence, but many other applications are starting to develop.

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Improving Energy Efficiency and Exploiting Parallelism with Processing in Memory (PIM) and Near-Data Processing (NDP)

Computing Now, Guest Editors’ Introduction by Kevin Rudd and Richard Murphy
The authors point out that moving data between logic and memory modules is now the major source of delay and power consumption. Given new memory technologies, alternative architectures such as PIM and NDP offer opportunities for substantial enhancement in performance as well as energy efficiency for memory-intensive problems, such as those associated with Big Data.

For the article and a list of further articles and resources, see here.


Forget Scaling. Moore's Law Panel Talks Power Consumption.

A panel of semiconductor experts at the South by Southwest festival sees a future that favors power-efficient computers instead of ones with smaller transistors.

Read the article here.


Beyond Moore's Law

In this Engadget article, Tom Conte examines Moore’s Law, the evolution of computer circuitry, and the switch to multicore. In order to keep delivering on computing advancements, a fundamentally different approach to computing is required. The IEEE Rebooting Computing Initiative was created to study these next-gen alternatives.

Read the article here.


What’s Next for Transistors and Systems

The online magazine Semiconductor Engineering interviewed several leaders in Chip Fabrication, focusing on future trends in nanodevices, alternative technologies, neuromorphic architectures, and advanced packaging. The upshot is that a variety of techniques will be needed for different applications in the next decade.

Read the article here.


Rebooting Computing: Developing a Roadmap for the Future of the Computer Industry

Members of the RC Steering Committee contributed an article to a special issue of Mondo Digitale, a trade magazine sponsored by the Italian Association for Informatics and Automatic Computation. The article reviewed how both the RC Initiative and the new IRDS Roadmap are working to reinvent the field of computing to maintain exponential enhancement in performance beyond the end of Moore’s Law scaling. Most of the article is in English.

Read the article here.

Other articles in this issue are available here.