Performance & Efficiency Cores For Servers


HotChips 2023 was held August 27-29, 2023 at Stanford University in California and was the first in-person version of the conference in 4 years. The conference was held in a hybrid format that had over 500 participants in-person and over 1,000 attending virtually online. Topics covered a broad range of advancements in computing, connectivity, and computer architecture. Both AMD and Intel gav... » read more

Distilling The Essence Of Four DAC Keynotes


Chip design and verification are facing a growing number of challenges. How they will be solved — particularly with the addition of machine learning — is a major question for the EDA industry, and it was a common theme among four keynote speakers at this month's Design Automation Conference. DAC has returned as a live event, and this year's keynotes involved the leaders of a systems comp... » read more

Better Quality RTL


How do you measure the quality of RTL? Philippe Luc, director of verification at Codasip, talks about identifying bugs, improving the overall quality of the verification, what happens when different blocks are used in a design, and how to improve efficiency in the verification process. » read more

Changes In Smart Manufacturing


Tom Salmon, vice president of collaborative technology platforms at SEMI, talks with Semiconductor Engineering about what’s changing in smart manufacturing, the impact of more data and AI, what the ROI looks like for these kinds of investments, and how that affects overall equipment efficiency. While the biggest bang will come from advanced nodes, it also is targeted at advanced packaging. » read more

Methodologies And Flows In A Rapidly Changing Market


A growing push toward more heterogeneity and customization in chip design is creating havoc across the global supply chain, which until a couple years ago was highly organized and extremely predictable. While existing tools still work well enough, no one has yet figured out the most efficient way to use them in a variety of new applications. Technology is still being developed in those marke... » read more

Energy Requirements And Challenges For IoT Autonomous Intelligence At The Edge


Recently, on a cold February night at San Jose State University, I attended the fourth episode of the talk series IR4: The Cognitive Era. IR4 talks focus on the fourth Industrial Revolution that is currently taking place and how cognitive science affects education, careers, and life. This latest part involved four esteemed experts on cloud and edge computing and the ramifications of energy effi... » read more

Machine Learning In The Fab


Machine learning is exploding, especially where there are massive amounts of data to contend with and lots of potential interactions. This leads to two obvious insertion points in the semiconductor field. One is on the design side, where just getting an advanced design to function is an enormous challenge. That challenge increases as the need for reliability in some market increases. It's d... » read more

Got Energy?


Energy is a finite resource, which means it’s not someone else’s problem. It’s everyone’s problem. This isn’t just another doom and gloom prediction. Energy consumption has been rising steadily for decades. Unfortunately, it has been increasing at a faster rate than energy production. A Semiconductor Industry Association report entitled, “Rebooting the IT Revolution: A Call to Ac... » read more

Efficiency Metrics Get Fuzzy


Not too long ago chipmakers used to measure transistors per hour and software developers would measure lines of code written per day or per week. Those metrics have fallen by the wayside—and chipmakers are still lamenting that loss. The problem is that nothing has come along to replace the old metrics, and complexity has left many chipmakers scratching their heads about how to build effici... » read more