Self-Driving Architecture With eFPGAs

By Alok Sanghavi - 25 Feb, 2019 - Comments: 0

The favored self-driving architecture of the future will be increasingly decentralized. However, both the centralized and decentralized architectural design approaches will require hardware acceleration in the form of far more lookaside co-processing than is currently realized. Whether centralized or decentralized, the anticipated computing architectures for automated and autonomous driving ... » read more

In-Memory Vs. Near-Memory Computing

By Mark LaPedus - 21 Feb, 2019 - Comments: 1

New memory-centric chip technologies are emerging that promise to solve the bandwidth bottleneck issues in today’s systems. The idea behind these technologies is to bring the memory closer to the processing tasks to speed up the system. This concept isn’t new and the previous versions of the technology fell short. Moreover, it’s unclear if the new approaches will live up to their billi... » read more

Pushing AI Into The Mainstream

By Brian Bailey - 31 Jan, 2019 - Comments: 0

Artificial intelligence is emerging as the driving force behind many advancements in technology, even though the industry has merely scratched the surface of what may be possible. But how deeply AI penetrates different market segments and technologies, and how quickly it pushes into the mainstream, depend on a variety of issues that still must be resolved. In addition to a plethora of techni... » read more

Using Memory Differently

By Ann Mutschler - 31 Jan, 2019 - Comments: 0

Chip architects are beginning to rewrite the rules on how to choose, configure and use different types of memory, particularly for chips with AI and some advanced SoCs. Chipmakers now have a number of options and tradeoffs to consider when choosing memories, based on factors such as the application and the characteristics of the memory workload, because different memory types work better tha... » read more

AI Market Ramps Everywhere

By Brian Bailey - 20 Dec, 2018 - Comments: 0

Artificial Intelligence (AI) has inspired the general populace, but its rapid rise over the past few years has given many people pause. From realistic concerns about robots taking over jobs to sci-fi scares about robots more intelligent than humans building ever smarter robots themselves, AI inspires plenty of angst. Within the technology industry, we have a better understanding about the pote... » read more

Fab Equipment Challenges For 2019

By Mark LaPedus - 17 Dec, 2018 - Comments: 0

After a period of record growth, the semiconductor equipment industry is facing a slowdown in 2019, in addition to several technical challenges that still need to be resolved. Generally, the equipment industry saw enormous demand in 2017, and the momentum extended into the first part of 2018. But then the memory market began deteriorating in the middle of this year, causing both DRAM and NAND ... » read more

The Cost Of Accuracy

By Brian Bailey - 13 Dec, 2018 - Comments: 0

How accurate does a system need to be, and what are you willing to pay for that accuracy? There are many sources of inaccuracy throughout the development flow of electronic systems, most of which involve complex tradeoffs. Inaccuracy leaves an impact on your design in ways you are not even aware of, hidden by best practices or guard-banding. EDA tools also inject some inaccuracy. As the i... » read more

FPGA Graduates To First-Tier Status

By Ed Sperling - 06 Dec, 2018 - Comments: 0

Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to talk about fundamental shifts in compute architectures and why AI, machine learning and various vertical applications are driving demand for discrete and embedded FPGAs. SE: What’s changing in the FPGA market? Blake: Our big focus is developing the next-generation architecture. We started this projec... » read more

Making Sure A Heterogeneous Design Will Work

By Ed Sperling - 03 Dec, 2018 - Comments: 0

An explosion of various types of processors and localized memories on a chip or in a package is making it much more difficult to verify and test these devices, and to sign off with confidence. In addition to timing and clock domain crossing issues, which are becoming much more difficult to deal with in complex chips, some of the new devices are including AI, machine learning or deep learning... » read more

AI Chip Architectures Race To The Edge

By Kevin Fogarty - 28 Nov, 2018 - Comments: 0

As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » 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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