How AI Is Transforming System Design

By Adam Kovac - 26 Nov, 2024 - Comments: 0

Experts At The Table: ChatGPT and other LLMs have attracted most of the attention in recent years, but other forms of AI have long been incorporated into design workflows. The technology has become so common that many designers may not even realize it’s a part of the tools they use every day. But its adoption is spreading deeper into tools and methodologies. Semiconductor Engineering sat down... » read more

To (B)atch Or Not To (B)atch?

By Steve Roddy - 18 Nov, 2024 - Comments: 0

When evaluating benchmark results for AI/ML processing solutions, it is very helpful to remember Shakespeare’s Hamlet, and the famous line: “To be, or not to be.” Except in this case the “B” stands for Batched. Batch size matters There are two different ways in which a machine learning inference workload can be used in a system. A particular ML graph can be used one time, preced... » read more

LLMs Show Promise In Secure IC Design

By Adam Kovac - 21 Oct, 2024 - Comments: 0

The introduction of large language models into the EDA flow could significantly reduce the time, effort, and cost of designing secure chips and systems, but they also could open the door to more sophisticated attacks. It's still early days for the use of LLMs in chip and system design. The technology is just beginning to be implemented, and there are numerous technical challenges that must b... » read more

Paving The Way For Sustainable AI

By Infineon - 10 Oct, 2024 - Comments: 0

Real-time requirements and the need for power-efficiency, security and privacy drives AI-processing at the edge. Key benefits of Edge AI include: -Low latency and real-time response -High power efficiency -Improved security and data privacy -Reduced cost A complementary set of AI-specific products and solutions, an end-to-end ML platform as well as an extensive application kno... » read more

The Cost Of EDA Data Storage And Processing Efficiency

By Adam Kovac - 09 Oct, 2024 - Comments: 0

Engineering teams are turning to the cloud to process and store increasing amounts of EDA data, but while the compute resources in hyperscale data centers are virtually unlimited, the move can add costs, slow access to data, and raise new concerns about sustainability. For complex chip designs, the elasticity of the cloud is a huge bonus. With advanced-node chips and packaging, the amount of... » read more

Exploring Machine Learning Enabled Microcontrollers As An Alternative To Linux-Based MPUs

By Infineon - 05 Sep, 2024 - Comments: 0

In today’s rapidly evolving technology landscape, the distinction between microcontrollers (MCUs) and micro processors (MPUs) is blurring with the introduction of high-performance Arm Cortex M processors. A compelling proposition emerges when a highly integrated device, PSOC™ Edge MCU, combines the power of the Cortex®M55 with advanced graphic peripherals, DSP Helium, and a neural net... » read more

Hardware Security: One-Key Premise of Logic Locking

By Technical Paper Link - 30 Aug, 2024 - Comments: 0

A new technical paper titled "Late Breaking Results: On the One-Key Premise of Logic Locking" was published by researchers at Synopsys. Abstract "The evaluation of logic locking methods has long been predicated on an implicit assumption that only the correct key can unveil the true functionality of a protected circuit. Consequently, a locking technique is deemed secure if it resists a good ... » read more

The Impact Of Simulation On The Carbon Footprint of Wafer Fab Equipment R&D

By Technical Paper Link - 13 Aug, 2024 - Comments: 0

A new technical paper titled "Achieving Sustainability in the Semiconductor Industry: The Impact of Simulation and AI" was published by researchers at Lam Research. Abstract "Computational simulation has been used in the semiconductor industry since the 1950s to provide engineers and managers with a faster, more cost-effective method of designing semiconductors. With increased pressure in t... » read more

MTJ-Based CRAM Array

By Technical Paper Link - 01 Aug, 2024 - Comments: 0

A new technical paper titled "Experimental demonstration of magnetic tunnel junction-based computational random-access memory" was published by researchers at University of Minnesota and University of Arizona, Tucson. Abstract "The conventional computing paradigm struggles to fulfill the rapidly growing demands from emerging applications, especially those for machine intelligence because ... » read more

Leveraging Machine Learning in Semiconductor Yield Analysis

By DR Yield - 09 Jul, 2024 - Comments: 0

Searching through wafer maps looking for spatial patterns is not only a very time-consuming task to be done manually, it’s also prone to human oversight and error, and nearly impossible in a large fab where there are thousands of wafers a day being processed. We developed a tool that applies automatic spatial pattern detection algorithms using ML, parametrizing pattern recognition and clas... » read more

← Older posts

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

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.