Finding And Avoiding Concurrency Bugs

By Luis Murillo - 25 Apr, 2019 - Comments: 0

Understanding the intended and unintended interactions between hardware and software components is changing as architectures become more heterogeneous and interconnect topologies get more complicated. This affects performance, power consumption and cost of the project. Lots of universities are researching this from a software perspective, while a small number are looking at the implications fro... » read more

Taming Concurrency

By Brian Bailey - 17 Jan, 2019 - Comments: 2

Concurrency adds complexity for which the industry lacks appropriate tools, and the problem has grown to the point where errors can creep into designs with no easy or consistent way to detect them. In the past, when chips were essentially a single pipeline, this wasn't a problem. In fact, the early pioneers of EDA created a suitable language to describe and contain the necessary concurrency ... » read more

The Perfect Risk

By Brian Bailey - 27 Sep, 2018 - Comments: 0

The development of semiconductors is an act of risk management. Very simply put, if you take on too much risk, it could lead to product failure or a missed market window, both of which can cost $M. For a company that only produces one or two products a year, that can spell total disaster. If you do not take on enough risk, you are probably not going to end up with a competitive product that ... » read more

Using More Verification Cores

By Brian Bailey - 30 Aug, 2018 - Comments: 1

Semiconductor Engineering sat down to talk about parallelization efforts within EDA with Andrea Casotto, chief scientist for Altair; Adam Sherer, product management group director in the System & Verification Group of Cadence; Harry Foster, chief scientist for Mentor, a Siemens Business; Vladislav Palfy, global manager for applications engineering at OneSpin; Vigyan Singhal, chief Oski for ... » read more

How To Handle Concurrency

By Brian Bailey - 30 Oct, 2017 - Comments: 3

The evolution of processing architectures has solved many problems within a chip, but for each problem solved another one was created. Concurrency is one of those issues, and it has been getting much more attention lately. While concurrency is hardly a new problem, the complexity of today’s systems is making it increasingly difficult to properly design, implement and verify the software an... » 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

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

NAND Flash Targets 1,000 Layers

New techniques go beyond improved deposition and etching, but challenges stack up, too.

by Bryon Moyer

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

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

New AI Processors Architectures Balance Speed With Efficiency

Hot Chips 24: Large language models ratchet up pressure for sustainable computing and heterogeneous integration; data management becomes key differentiator.