中文 English

Hyperconnectivity, Hyperscale Computing, And Moving Edges


As described in “The Four Pillars of Hyperscale Computing” last year, the four core components that development teams consider for data centers are computing, storage, memory, and networking. Over the previous decade, requirements for programmability have fundamentally changed data centers. Just over a decade ago, in 2010, virtual machines would compute user workloads on CPU-centric archite... » read more

Hyperconnectivity And The Path To 6G


Some may view the recent uptick in the news about next-generation wireless networking, specifically 6G, with some healthy skepticism as 5G is “just rolling out.” But when looking at the timelines, it becomes clear why 6G is critical and is also excellent news for electronics, and by extension, the design of semiconductors and systems. The same key elements that transformed the data center t... » read more

The Four Pillars Of Hyperscale Computing


In his keynote at CadenceLIVE Americas 2020, Facebook’s Vijay Rao, director, Technology and Strategy, described the four core elements the team considers when designing their data centers—compute, storage, memory, and networking. Wait a minute. Facebook? How did we get here? Wasn’t EDA supposed to be focused on chip design? As indicated in a previous blog, electronic value chains are defi... » read more

Huge Performance Gains Ahead


Rambus Chief Scientist Craig Hampel talks about what will drive the next big performance gains after Moore’s Law, from the data center to the edge. https://youtu.be/ItHCsei7YTc » read more

Executive Insight: Lip-Bu Tan


Semiconductor Engineering sat down with Lip-Bu Tan, president and CEO of [getentity id="22032" e_name="Cadence"], to discuss disruptions and changes in the semiconductor industry, from machine learning and advance packaging to tools and business. What follows are excerpts of that conversation. SE: What do you see as the next big thing? Tan: Unlike mobility or cell phones, or PCs before th... » read more

Conflicting Goals In Data Centers


Two conflicting goals are emerging inside of data centers—speed at any cost, and the ability to extend hardware well beyond its expected lifetime to amortize that cost. Layered across both of those are concerns about how to move data back and forth more efficiently, how to secure it, and how to best integrate different generations of technology. But these widely different goals have create... » read more