Power Models For Machine Learning

By Brian Bailey - 14 Dec, 2020 - Comments: 1

AI and machine learning are being designed into just about everything, but the chip industry lacks sufficient tools to gauge how much power and energy an algorithm is using when it runs on a particular hardware platform. The missing information is a serious limiter for energy-sensitive devices. As the old maxim goes, you can't optimize what you can't measure. Today, the focus is on functiona... » read more

Week In Review: Design, Low Power

By Jesse Allen - 11 Dec, 2020 - Comments: 0

RISC-V RISC-V International CEO Calista Redmond provided an update on the state of the community during the annual RISC-V Summit: “RISC-V has had an incredible year of growth and momentum. This year, our technical community has grown 66 percent to more than 2,300 individuals in our more than 50 technical and special interest groups. We’re seeing increased market momentum of RISC-V cores, S... » read more

Week In Review: Auto, Security, Pervasive Computing

By Susan Rambo - 11 Dec, 2020 - Comments: 0

Automotive Self-driving car company Cruise now has driverless cars on the streets of San Francisco, Calif., reports the San Francisco Chronicle. Cruise, which is backed by General Motors, is testing five driverless cars in the urban — and very hilly — environment of San Francisco. Cruise is using an EV — the Chevy Bolt — as a test vehicle. At Level 4 driving, the cars will not have a w... » read more

Re-Architecting SerDes

By Brian Bailey - 10 Dec, 2020 - Comments: 0

Serializer/Deserializer (SerDes) circuits have been helping semiconductors move data around for years, but new process technologies are forcing it to adapt and change in unexpected ways. Traditionally implemented as an analog circuit, SerDes technology has been difficult to scale, while low voltages, variation, and noise are making it more difficult to yield sufficiently. So to remain releva... » read more

New Security Approaches, New Threats

By Ed Sperling - 09 Dec, 2020 - Comments: 0

New and different approaches to security are gaining a foothold as the life expectancy for advanced chips increases, and as emerging technologies such as quantum computing threaten to crack even the most complex encryption schemes. These approaches include everything from homomorphic encryption, where data is processed without being decrypted, to different ways of sending and receiving data ... » read more

How Will Future Cars Interact With Humans?

By Bryon Moyer - 03 Dec, 2020 - Comments: 0

Future automobiles may come with a set of controls very different from what we’re used to now. Mechanical knobs and switches already are being replaced by touchscreens, but that's just the beginning. There are a multitude of other possible ways in which drivers can interact with their vehicles, and the list is growing as technology drives down the cost of this new human-machine interface (... » read more

Edge Inference Applications And Market Segmentation

By Geoff Tate - 03 Dec, 2020 - Comments: 0

Until recently, most AI was in data centers/cloud and most of that was training. Things are changing quickly. Projections are AI sales will grow rapidly to tens of billions of dollars by the mid 2020s, with most of the growth in edge AI inference. Data center/cloud vs. edge inference: What’s the difference? The data center/cloud is where inference started on Xeons. To gain efficiency, much ... » read more

Blockchain Attempts To Secure The Supply Chain

By Bryon Moyer - 03 Dec, 2020 - Comments: 0

Blockchain technology is starting to be deployed more widely In the battle against counterfeiting, often coupled with component IDs to allow device authentication. Securing the supply chain is a complex challenge, particularly as more IP from more vendors in more locations makes its way into chips, packages or even systems. Being able to attest to the history of the device to prove its prove... » read more

Faster Inferencing At The Edge

By Ed Sperling - 09 Nov, 2020 - Comments: 0

Cheng Wang, senior vice president of engineering at Flex Logix, talks about inferencing at the edge, what are some of the main considerations in designing and choosing an inferencing chip, why programmability and modularity are important, and how hardware-software co-design with algorithms can improve performance and power. » 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: Flex Logix

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