Big Challenges, Changes For Debug

By Ann Mutschler - 04 Dec, 2017 - Comments: 1

By Ann Steffora Mutschler & Ed Sperling Debugging a chip always has been difficult, but the problem is getting worse at 7nm and 5nm. The number of corner cases is exploding as complexity rises, and some bugs are not even on anyone's radar until well after devices are already in use by end customers. An estimated 39% of verification engineering time is spent on debugging activities the... » read more

The Darker Side Of Machine Learning

By Ann Mutschler - 05 Jul, 2017 - Comments: 0

Machine learning can be used for many purposes, but not all of them are good—or intentional. While much of the work underway is focused on the development of machine learning algorithms, how to train these systems and how to make them run faster and do more, there is a darker side to this technology. Some of that involves groups looking at what else machine learning can be used for. So... » read more

Toward Continuous HW-SW Integration

By Ann Mutschler - 25 May, 2017 - Comments: 0

Hardware is only as good as the software that runs on it, and as system complexity grows that software is lagging behind. The way to close that gap is to improve the [getkc id="100" kc_name="methodology"] for developing that software in the first place. That includes making sure updates are verified and tested before being pushed out to devices, adding the same kinds of detailed checks that ... » read more

Moore’s Law: Toward SW-Defined Hardware

By Ed Sperling - 15 May, 2017 - Comments: 2

Pushing to the next process node will continue to be a primary driver for some chips—CPUs, FPGAs and some ASICS—but for many applications that approach is becoming less relevant as a metric for progress. Behind this change is a transition from using customized software with generic hardware, to a mix of specialized, heterogeneous hardware that can achieve better performance with less ene... » read more

Autonomous Cars Drive New Software

By Ann Mutschler - 04 May, 2017 - Comments: 0

Autonomous driving and other advanced features will require much more sophisticated software than what is used in vehicles today. To make this all work will require complex algorithms as well as co-designed hardware, which can make real-time decisions to avoid accidents and adjust to changing road conditions. Automobiles already take advantage of sophisticated software executed by a variety ... » read more

Design Complexity Drives New Automation

By Ann Mutschler - 27 Apr, 2017 - Comments: 0

As design complexity grows, so does the need for every piece in the design flow—hardware, software, IP, as well as the ecosystem — to be tied together more closely. At one level, design flow capacity is simply getting bigger to accommodate massive [getkc id="185" kc_name="finFET"]-class designs. But beyond sheer size, there are new interactions in the design flow that place much more emp... » read more

Overcoming The Limits Of Scaling

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

Semiconductor Engineering sat down to discuss the increasing reliance on architectural choices for improvements in power, performance and area, with [getperson id="11425" comment=" Sundari Mitra"], CEO of [getentity id="22535" comment="NetSpeed Systems"]; Charlie Janac, chairman and CEO of [getentity id="22674" e_name="Arteris"]; [getperson id="11032" comment="Simon Davidmann"] CEO of [getentit... » read more

Embedded Software Verification Issues Grow

By Ann Mutschler - 08 Dec, 2016 - Comments: 0

Embedded software is becoming more critical in managing the power and performance of complex designs, but so far there is no consensus about the best way to approach it—and that's creating problems. Even with safety-critical standards such as DO-178C for aerospace and [gettech id="31076" comment="ISO 26262"] for automotive, different groups of tool providers approach software from differen... » read more

Optimizing Multiple IoT Layers

By Ann Mutschler - 01 Dec, 2016 - Comments: 0

As the number of connected devices rises, so do questions about how to optimize them for target markets, how to ensure they play nicely together, and how to bring them to market quickly and inexpensively. [getkc id="76" kc_name="IoT"] is broad term that encompasses a lot of disparate pieces for devices, systems, and connected systems. At the highest levels are hardware and software, but with... » read more

The Limits Of Parallelism

By Ann Mutschler - 22 Nov, 2016 - Comments: 0

Parallelism used to be the domain of supercomputers working on weather simulations or plutonium decay. It is now part of the architecture of most SoCs. But just how efficient, effective and widespread has parallelism really become? There is no simple answer to that question. Even for a dual-core implementation of a processor on a chip, results can vary greatly by software application, operat... » read more

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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

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

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

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

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