What Does An AI Chip Look Like?

By Ed Sperling - 01 Mar, 2017 - Comments: 5

Depending upon your point of reference, artificial intelligence will be the next big thing or it will play a major role in all of the next big things. This explains the frenzy of activity in this sector over the past 18 months. Big companies are paying billions of dollars to acquire startup companies, and even more for R&D. In addition, governments around the globe are pouring additional... » read more

What’s Next For Transistors

By Mark LaPedus - 23 Jan, 2017 - Comments: 1

The IC industry is moving in several different directions at once. The largest chipmakers continue to march down process nodes with chip scaling, while others are moving towards various advanced packaging schemes. On top of that, post-CMOS devices, neuromorphic chips and quantum computing are all in the works. Semiconductor Engineering sat down to discuss these technologies with Marie Semeri... » read more

Homogeneous And Heterogeneous Computing Collide

By Brian Bailey - 22 Nov, 2016 - Comments: 0

Eleven years ago processors stopped scaling due to diminishing returns and the breakdown of [getkc id="213" kc_name="Dennard's Law"]. That set in motion a chain of events from which the industry has still not fully recovered. The transition to homogeneous multi-core processing presented the software side with a problem that they did not know how to solve, namely how to optimize the usage of ... » read more

System Bits: Nov. 8

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

Optimizing multiprocessor programs for non-experts While ‘dynamic programming’ is a technique that yields efficient solutions to computational problems in economics, genomic analysis, and other fields, adapting it to multicore chips requires a level of programming expertise that few economists and biologists have. But researchers from MIT’s Computer Science and Artificial Intelligence La... » read more

MapD Makes GPUs First-Class Citizens

By Ann Mutschler - 29 Aug, 2016 - Comments: 0

It’s now well known that with the latest innovations in parallel programming and GPU technology, graphics processing units (GPUs) can be harnessed today to deal with the enormous data sets regularly encountered in applications ranging from ADAS, artificial intelligence, and gaming to deep learning, scientific computation, and high-performance computing. But how exactly do you find what you... » read more

GPUs Power Ahead

By Ann Mutschler - 05 Jul, 2016 - Comments: 0

GPUs, long a sideshow for CPUs, are suddenly the rising stars of the processor world. They are a first choice in everything from artificial intelligence systems to automotive ADAS applications and deep learning systems powered by [getkc id="261" kc_name="convolutional neural network"]. And they are still the mainstays of high-performance computing, gaming and scientific computation, to name ... » read more

Rethinking Processor Architectures

By Ed Sperling - 05 May, 2016 - Comments: 2

The semiconductor industry's obsession with clock speeds, cores and how many transistors fit on a piece of silicon may be nearing an end for real this time. The [getentity id="22048" comment="IEEE"] said it will develop the International Roadmap for Devices and Systems (IRDS), effectively setting the industry agenda for future silicon benchmarking and adding metrics that are relevant to specifi... » read more

New Metrics For The Cloud

By Ed Sperling - 10 Sep, 2015 - Comments: 0

Data centers are beginning to adjust their definition of what makes one server better than another. Rather than comparing benchmarked performance of general-purpose servers, they are adding a new level of granularity based upon what kind of chips work best for certain operations or applications. Those decisions increasingly include everything from the level of redundancy in compute operations, ... » read more

Capturing Performance

By Ann Mutschler - 14 May, 2015 - Comments: 0

The challenge of working out the best performance for a given power budget is not a new one, but in many power-sensitive applications, the balance is tricky and requires sophisticated techniques. This is especially true in the media processor market where many systems companies are held back by power, energy and thermal issues. “It's really not a battery problem, it's a thermal problem... » read more

Executive Insight: Gideon Wertheizer

By Ed Sperling - 13 Aug, 2014 - Comments: 0

SE: From your standpoint, what’s the next big thing? Wertheizer: The industry was driven in the past few years by the structure the smartphone created. It looks like this area is about to grow. What’s changing is the integration of the smartphone with other applications. The smartphone is now a hub of entertainment and productivity with many devices connecting directly or indirectly to i... » 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: GPUs