AI For Data Management

By Adam Kovac - 30 May, 2024 - Comments: 0

Data management is becoming a significant new challenge for the chip industry, as well as a brand new opportunity, as the amount of data collected at every step of design through manufacturing continues to grow. Exacerbating the problem is the rising complexity of designs, many of which are highly customized and domain-specific at the leading edge, as well as increasing demands for reliabili... » read more

Making Sensors More Reliable

By Karen Heyman - 05 Oct, 2023 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to talk about the latest issues in sensors with Prakash Madhvapathy, director of product marketing, Tensilica audio/voice DSPs group at Cadence; Kevin Hughes, senior product manager for MEMS sensors at Infineon; and Matthew Hogan, product management director at Siemens EDA. What follows are excerpts of that conversation. [L-R] Kevin ... » read more

Leveraging Chip Data To Improve Productivity

By Ann Mutschler - 23 Feb, 2023 - Comments: 1

The semiconductor ecosystem is scrambling to use data more effectively in order to increase the productivity of design teams, improve yield in the fab, and ultimately increase reliability of systems in the field. Data collection, analysis, and utilization is at the center of all these efforts and more. Data can be collected at every point in the design-through-manufacturing flow and into the f... » read more

New Data Management Challenges

By Ann Mutschler - 13 Sep, 2022 - Comments: 0

An explosion in semiconductor design and manufacturing data, and the expanding use of chips in safety-critical and mission-critical applications, is prompting chipmakers to collect and manage that data more effectively in order to improve overall performance and reliability. This collection of data reveals a number of challenges with no simple solutions. Data may be siloed and inconsistent, ... » read more

Finding And Applying Domain Expertise In IC Analytics

By Anne Meixner - 12 Apr, 2022 - Comments: 0

Behind PowerPoint slides depicting the data inputs and outputs of a data analytics platform belies the complexity, effort, and expertise that improve fab yield. With the tsunami of data collected for semiconductor devices, fabs need engineers with domain expertise to effectively manage the data and to correctly learn from the data. Naively analyzing a data set can lead to an uninteresting an... » read more

Silicon Lifecycle Management’s Growing Impact On IC Reliability

By Ed Sperling - 12 Apr, 2022 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to talk about silicon lifecycle management, how it's expanding and changing, and where the problems are, with Prashant Goteti, principal engineer at Intel; Rob Aitken, R&D fellow at Arm; Zoe Conroy, principal hardware engineer at Cisco; Subhasish Mitra, professor of electrical engineering and computer science at Stanford University; a... » read more

System Bits: Oct. 16

By Ann Mutschler - 16 Oct, 2018 - Comments: 0

Solving the quantum verification problem UC Berkeley doctoral candidate Urmila Mahadev spent 8 years in graduate school solving one of the most basic questions in quantum computation, which is how to know whether a quantum computer has done anything quantum at all, according to Quanta Magazine. In her paper, Mahadev presents the first protocol allowing a classical computer to interactively ... » read more

Cadence CDNLive Keynote Address: Thoughts and Implications

By Rich Wawrzyniak - 21 Apr, 2016 - Comments: 0

I attended the Cadence CDNLive conference at the Santa Clara Convention Center on April 5 and 6 and had a chance to listen to four very thought-provoking presentations given by the speakers. These presentations were combined to follow the keynote address given by Cadence CEO, Lip-Bu Tan and addressed several different aspects of the current semiconductor industry landscape. Speakers Lip-... » 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

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: data analysis