Patterns And Issues In AI Chip Design


AI is becoming more than a talking point for chip and system design, taking on increasingly complex tasks that are now competitive requirements in many markets. But the inclusion of AI, along with its machine learning and deep learning subcategories, also has injected widespread confusion and uncertainty into every aspect of electronics. This is partly due to the fact that it touches so many... » read more

No Hot Products


While marketers strive to launch the next “hot” product, engineers struggle to prevent literally hot products! A recent breakthrough in thermal modeling comes just in time as electronic component manufacturers and their OEM customers increasingly battle thermal design issues. Analog electronic component manufacturers have traditionally provided models in SPICE format so customers can sim... » read more

Unlocking Efficiency: The Power Of IP Blocks In Silicon Chip Design


The fastest, most efficient and cost-effective way to design silicon is by leveraging intellectual property (IP) blocks. This methodology reduces risk, allows a design team to focus on its own differentiation, and allows scalability. Re-using existing IP offers even more value for design teams. But not every company has embraced the approach. Here’s why you should consider it. To optimize ... » read more

New Developments Set To Accelerate MIPI CSI-2 Adoption In Automotive


As Advanced Driver-Assistance Systems (ADAS) become more sophisticated, cars are equipped with an increasing number of cameras and sensors. To support features like automated parking, adaptive cruise control, and enhanced night vision, sensors source multiple wavelengths and deploy cameras with higher quality data formats, higher frame and refresh rates. ADAS systems are all powered by data sou... » read more

The Race Toward Quantum Advantage


Quantum computing has yet to show an advantage over conventional computing, but huge sums of money are betting it will. So far that hasn't happened. Early quantum computers were created in the mid-1990s after mathematicians had demonstrated the effectiveness of applying quantum approaches to some problems. At that stage they were simulated using conventional computing, but it started the rac... » read more

Your AI Chip Doesn’t Need An Expensive Insurance Policy


Imagine you are an architect designing a new SoC for an application that needs substantial machine learning inferencing horsepower. The team in marketing has given you a list of ML workloads and performance specs that you need to hit. The in-house designed NPU accelerator works well for these known workloads – things like MobileNet v2 and Resnet50. The accelerator speeds up 95+% of the comput... » read more

Jumping Over Thermal Cycles Accelerates Thermomechanical Fatigue Simulations


Although you are probably not aware of them, dozens of electronic control units (ECUs) — printed circuit boards (PCBs) in metal or plastic housings — exist in your car to control and monitor the operation and safety of your vehicle’s many control systems. These units must work for the lifetime of your car, during which time they are subjected to many heating and cooling cycles. The most o... » read more

LLM Technology For Chip Design


In the nine short months since OpenAI brought ChatGPT (a Chat Generative Pre-Trained Transformer) and the phenomenal concept of large language models (LLMs) to the global collective consciousness, pioneers from every corner of the economy have raced to understand the benefits—and the pitfalls—of deploying this nascent technology to their particular industry. And as it turns out, semicondu... » read more

Managing P/P Tradeoffs With Voltage Droop Gets Trickier


Experts at the Table: Semiconductor Engineering sat down to talk about voltage droop/IR drop with Bill Mullen, distinguished engineer at Ansys; Rajat Chaudhry, product management group director at Cadence; Heidi Barnes, senior applications engineer at Keysight Technologies; Venkatesh Santhanagopalan, product manager at Movellus; Joe Davis, senior director for Calibre interfaces and mPower EM/IR... » read more

Nginx Performance On AWS Graviton3


In this blog we explore the performance of a Nginx Reverse Proxy (RP) and API Gateway (APIGW) on AWS Graviton3-based instances. We will also refer to these collectively as RP/APIGW. We compared AWS Graviton3-based instances to Intel Xeon 'Ice Lake'-based instances and AWS Graviton2-based instances to demonstrate the leadership performance available with AWS Graviton3. Summary Compared to AWS ... » read more

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