Week In Review: Automotive, Security, Pervasive Computing

By Liz Allan - 23 Jun, 2023 - Comments: 0

Stellantis and Foxconn formed a 50/50 joint venture called SiliconAuto, to be headquartered in the Netherlands. The goal is to close the gap between supply and demand for chips used in computer-controlled features and modules, especially for electric vehicles (EVs). The U.S. Department of Justice created a National Security Cyber Section within its National Security Division to increase the ... » read more

Power/Performance Costs Of Securing Systems

By Brian Bailey - 08 Jun, 2023 - Comments: 0

For much of the chip industry, concerns about security are relatively new, but the requirement for protecting semiconductor devices is becoming pervasive. Unfortunately for many industries, that lesson has been learned the hard way. Security breaches have led to the loss of sensitive data, ransomware attacks that lock up data, theft of intellectual property or financial resources, and loss o... » read more

LPDDR5X: High Bandwidth, Power Efficient Performance For Mobile & Beyond

By Vinitha Seevaratnam - 08 Jun, 2023 - Comments: 0

Looking back over recent history in the memory landscape, we can clearly see a trend of new applications growing sufficiently large enough to command the creation of new memory technologies tailored to their specific needs. We saw this with the creation of GDDR for graphics and later HBM for AI/ML applications. Low-Power Double Data Rate (LPDDR) emerged as a specialized memory designed for mobi... » read more

Post-Quantum Cryptography: The Algorithms That Will Protect Data In The Quantum Era

By Bart Stevens - 01 Jun, 2023 - Comments: 0

There is no doubt that quantum computers will play a significant role in helping the world solve complex challenges not possible on current classical computers. However, quantum computers also pose a serious security threat. They will eventually become powerful enough to break traditional asymmetric cryptographic methods, that is, some of the most common security protocols used to protect sensi... » read more

How Many Sensors For Autonomous Driving?

By John Koon - 01 Jun, 2023 - Comments: 0

With the cost of sensors ranging from $15 to $1,000, carmakers are beginning to question how many sensors are needed for vehicles to be fully autonomous at least part of the time. Those sensors are used to collect data about the surrounding environment, and they include image, lidar, radar, ultrasonic, and thermal sensors. One type of sensor is not sufficient, because each has its limitation... » read more

HBM3 And GDDR6: Memory Solutions For AI

By Rambus - 31 May, 2023 - Comments: 0

AI/ML changes everything, impacting every industry and touching the lives of everyone. With AI training sets growing at a pace of 10X per year, memory bandwidth is a critical area of focus as we move into the next era of computing and enable this continued growth. AI training and inference have unique feature requirements that can be served by tailored memory solutions. Learn how HBM3 and GDDR6... » read more

Week In Review: Design, Low Power

By Susan Rambo - 19 May, 2023 - Comments: 0

Design Ansys has signed a definitive agreement to acquire EDA tool company Diakopto. Diakopto specializes in software tools that find the cause of layout parasitics. Its products are ParagonX, for analyzing and debugging IC designs and layout parasitics, and EM/IR analysis/verification tool PrimeX. The deal is expected to close in the second quarter of 2023. SEMI’s FlexTech community issu... » read more

GDDR6 Delivers The Performance For AI/ML Inference

By Frank Ferro - 15 May, 2023 - Comments: 0

AI/ML is evolving at a lightning pace. Not a week goes by right now without some new and exciting developments in the field, and applications like ChatGPT have brought generative AI capabilities firmly to the forefront of public attention. AI/ML is really two applications: training and inference. Each relies on memory performance, and each has a unique set of requirements that drive the choi... » read more

Making Tradeoffs With AI/ML/DL

By Ann Mutschler - 11 May, 2023 - Comments: 0

Machine learning, deep learning, and AI increasingly are being used in chip design, and they are being used to design chips that are optimized for ML/DL/AI. The challenge is understanding the tradeoffs on both sides, both of which are becoming increasingly complex and intertwined. On the design side, machine learning has been viewed as just another tool in the design team's toolbox. That's s... » read more

Designing Crash-Proof Autonomous Vehicles

By John Koon - 10 May, 2023 - Comments: 0

Autonomous vehicles keep crashing into things, even though ADAS technology promises to make driving safer because machines can think and react faster than human drivers. Humans rely on seeing and hearing to assess driving conditions. When drivers detect objects in front of the vehicle, the automatic reaction is to slam on the brakes or swerve to avoid them. Quite often drivers cannot react q... » read more

← Older posts Newer 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

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.

by Bryon Moyer

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.