The Race For Better Computational Software

By Ed Sperling - 05 Sep, 2019 - Comments: 0

Anirudh Devgan, president of Cadence, sat down with Semiconductor Engineering to talk about computational software, why it's so critical at the edge and in AI systems, and where the big changes are across the semiconductor industry. What follows are excerpts of that conversation. SE: There is no consistent approach to how data will be processed at the edge, in part because there is no consis... » read more

Surround And Conquer

By Ed Sperling - 22 Aug, 2019 - Comments: 0

The processor wars are back in full swing, this time with some new players in the field. But what defines winning this time around is far less obvious than it was in the past, and it will take years before we know the outcome. The strategy is the same, though, and it's one that has been in use for years in the tech world. It began in the 1990s, when IBM came to the realization that it could ... » read more

Chiplets, Faster Interconnects, More Efficiency

By Ed Sperling - 22 Aug, 2019 - Comments: 1

Big chipmakers are turning to architectural improvements such as chiplets, faster throughput both on-chip and off-chip, and concentrating more work per operation or cycle, in order to ramp up processing speeds and efficiency. Taken as a whole, this represents a significant shift in direction for the major chip companies. All of them are wrestling with massive increases in processing demands ... » read more

Speed Returns As The Key Metric

By Ed Sperling - 08 Aug, 2019 - Comments: 0

For the foreseeable future, it's all about performance. For the past decade or so, power and battery life have been the defining characteristics of chip design. Performance was second to those. This was particularly important in smart phones and wearable devices, where time between charges was a key selling point. In fact, power-hungry processors killed the first round of smart watches. But ... » read more

Providing An AI Accelerator Ecosystem

By David Burnette - 27 Jun, 2019 - Comments: 0

A key design area for AI systems is the creation of Machine Learning (ML) algorithms that can be accelerated in hardware to meet power and performance goals. Teams designing these algorithms find out quickly that a traditional RTL design flow will no longer work if they want to meet their delivery schedules. The algorithms are often subject to frequent changes, the performance requirements may ... » read more

The Race To Multi-Domain SoCs

By Ed Sperling - 07 Feb, 2019 - Comments: 0

K. Charles Janac, president and CEO of Arteris IP, sat down with Semiconductor Engineering to discuss the impact of automotive and AI on chip design. What follows are excerpts of that conversation. SE: What do you see as the biggest changes over the next 12 to 24 months? Janac: There are segments of the semiconductor market that are shrinking, such as DTV and simple IoT. Others are going ... » read more

AI Chips: NoC Interconnect IP Solves Three Design Challenges

By Kurt Shuler - 10 Jan, 2019 - Comments: 0

New network-on-chip (NoC) interconnect IP is now available for artificial intelligence (AI) systems-on-chip (SoC). Arteris IP launched the fourth generation of the FlexNoC interconnect IP with a new optional AI package. The novel NoC interconnect technologies solves many data flow problems in today’s AI designs. Innovative features address the requirements of the next-generation of AI chips t... » read more

It’s All About The Data

By Ed Sperling - 20 Dec, 2018 - Comments: 1

The entire tech industry has changed in several fundamental ways over the past year due to the massive growth in data. Individually, those changes are significant. Taken together, those changes will have a massive impact on the chip industry for the foreseeable future. The obvious shift is the infusion of AI (and its subcategories, machine learning and deep learning) into different markets. ... » 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

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

tag: accelerators