Week in Review: IoT, Security, Auto

By Jeff Dorsch - 08 Mar, 2019 - Comments: 0

Internet of Things Dialog Semiconductor is shifting its product portfolio away from smartphones following its pending $600 million deal with Apple. The chip company is looking toward connected-health products and video-game consoles for future growth. The connected-health devices, developed in collaboration with pharmaceutical firms, would monitor blood pressure and check glucose levels, accor... » read more

Optimizing Machine Learning Workloads On Power-Efficient Devices

By Arm - 11 Apr, 2018 - Comments: 0

Software frameworks for neural networks, such as TensorFlow, PyTorch, and Caffe, have made it easier to use machine learning as an everyday feature, but it can be difficult to run these frameworks in an embedded environment. Limited budgets for power, memory, and computation can all make this more difficult. At Arm, we’ve developed Arm NN, an inference engine that makes it easier to target di... » read more

The Efficiency Problem

By Samer Hijazi - 11 May, 2017 - Comments: 0

Part one of this report addressed the efficiency problem in neural networks. This segment addresses efficiencies in training, quantization, and optimizing the network and the hardware. Minimize the Bits (CNN Advanced Quantization) Training a CNN involves assigning weight vectors to certain results, and applying adaptive filters to those results to determine the positives, false positives, a... » read more

Researchers Learn New Tricks

By Brian Bailey - 27 Apr, 2017 - Comments: 0

There is very little EDA research being done in universities today, except for very narrow fields such as [getkc id="33" kc_name="formal verification"]. It has been a steady decline over quite a long period of time. There are several reasons for this. The first is money. Money has to flow into the universities to pay for the research, and this has to lead to some form of prestige for the est... » read more

Partitioning For Power

By Ed Sperling - 14 Nov, 2016 - Comments: 0

Examine any smartphone design today and most of the electronic circuitry is "off" most of the time. And regardless of how many processor cores are available, it's rare to use more than a couple of those cores at any point in time. The emphasis is shifting, though, as the mobility market flattens and other markets such as driver-assisted vehicles and IoT begin gaining traction. In a car, turn... » read more

Lower Power Plus Better Performance

By Ed Sperling - 13 Oct, 2016 - Comments: 0

The tradeoff between power and performance is becoming less about one versus the other, and more about a dual benefit, as new computing and chip architectures begin rolling out. Neural networking, which is one of the hot buttons for any system that relies on lots of distributed sensors, is essential to get a true picture of what is happening around a car moving down the highway at 65 miles ... » read more

Neural Net Computing Explodes

By Gale Morrison - 06 Oct, 2016 - Comments: 1

Neural networking with advanced parallel processing is beginning to take root in a number of markets ranging from predicting earthquakes and hurricanes to parsing MRI image datasets in order to identify and classify tumors. As this approach gets implemented in more places, it is being customized and parsed in ways that many experts never envisioned. And it is driving new research into how el... » read more

Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

Key Technologies To Extend EUV To 14 Angstroms

Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.

by Laura Peters

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer