Formal Verification’s Usefulness Widens


Formal verification is being deployed more often and in more places in chip designs as the number of possible interactions grows, and as those chips are used in more critical applications. In the past, much of formal verification was focused on whether a chip would function properly. But as designs become more complex and heterogeneous, and as use cases change, formal verification is being u... » read more

Developing ReRAM As Next Generation On-Chip Memory For Machine Learning, Image Processing And Other Advanced CPU Applications


In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, designers are adding additional on-chip memory to their CPUs. Traditionally, SRAM has been the most widely used on-chip CPU memory type. Unfortunately, SRAM is currently limited to a size of hundreds of ... » read more

AI-Driven Innovation For Manufacturing Automation


By Calvin Shiao, AshtonWS Huang, and Alfos Hsu Artificial intelligence (AI) is changing the world and improving our lives in many ways. The semiconductor industry is a key part of the AI revolution, as it provides powerful computing chips for AI applications and leverages AI to optimize business operations and management, customer service, office workflows, as well as the intricate realms of... » read more

Semiconductors Accelerate The Artificial Intelligence Revolution


By Ajit Manocha, Pushkar Apte, and Melissa Grupen-Shemansky Five years ago, SEMI published an article predicting that Artificial Intelligence (AI) would change everything – and it has! AI has moved out of labs and taken popular imagination by storm. It is now a hot topic of discussion everywhere, from family dining tables and corporate boardrooms to corridors of government. While it m... » read more

3D Integration Supports CIM Versatility And Accuracy


Compute-in-memory (CIM) is gaining attention due to its efficiency in limiting the movement of massive volumes of data, but it's not perfect. CIM modules can help reduce the cost of computation for AI workloads, and they can learn from the highly efficient approaches taken by biological brains. When it comes to versatility, scalability, and accuracy, however, significant tradeoffs are requir... » read more

Is Transformer Fever Fading?


The hottest, buzziest thing bursts onto the scene and captures the attention of the business press and even the general public. Scads of articles and videos are published about The Hot Thing. And then, in the blink of an eye, the world’s attention shifts to the Next New Thing! Are we talking about the latest pop song that leads the Spotify streaming charts? Perhaps a new fashion trend that... » read more

How Can You Use ChatGPT For Software Testing?


All eyes have been on OpenAI and its brainchild ChatGPT in recent months. ChatGPT’s ability to understand and respond to complex instructions and deliver detailed responses to user prompts has led to an explosive rise in its popularity with the public. If you were to search online for “ChatGPT tips,” you can find content to help you use the tool to tailor resumes to job postings, create... » read more

Glitch Power Issues Grow At Advanced Nodes


An estimated 20% to 40% of total power is being wasted due to glitch in some of the most advanced and complex chip designs, and at this point there is no single best approach for how and when to address it, and mixed information about how effective those solutions can be. Glitch power is not a new phenomenon. DSP architects and design engineers are well-versed in the power wasted by long, sl... » read more

Scaling Server Memory Performance To Meet The Demands Of AI


AI, whether we’re talking about the number of parameters used in training or the size of large language models (LLMs), continues to grow at a breathtaking rate. For over a decade, we’ve witnessed a 10X per year scaling. It’s a growth rate that puts pressure on every aspect of the computing stack: processing, memory, networking, you name it. The platform vendors are responding to the in... » read more

Getting Optimal PPA For HPC & AI Applications With Foundation IP


By Andrew Appleby, Xiaorui Hu, and Bhavana Chaurasia The demand for application-specific system-on-chips (SoCs) for compute applications is ever-increasing. Today, the diversity of requirements means there is a need for a rich set of compute solutions in a wide range of process technologies. The resulting products may have very different but demanding power, performance, and area (PPA) requi... » read more

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