Technical Conferences: The Insurmountable Opportunity


As a technology marketeer, I’m always looking for high-leverage events to promote our brand and gain visibility for new products and services. Let’s face it, this is the main benefit for attending a technical conference or a trade show. While the dream might be 40+ leads that are well-qualified and closable in the quarter, the reality is more of a long-game kind of strategy. For years, t... » read more

FinFET ASICs: It Takes A Platform


Sophisticated, specialized ASIC technology is making an impact on the everyday world around us. Whether it’s a gadget you can have a conversation with, a car that will take over driving from time to time, or internet speeds that seem impossibly fast, there is likely sophisticated custom silicon present as a critical enabling technology. Plenty has been written about advanced ASICs for network... » read more

Deep Learning And The Future


Following up from my last post on our deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation,” I’d like to take a glimpse into the future. Like many such discussions, it’s often useful to take a look back first to try and make sense out of what is to come.  That’s essentlially what our keynote speaker, Ty Garibay, did at the event. Ty is the CTO... » read more

Deep Learning Market Forces


Last week, eSilicon participated in a deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation.” Along with Samsung, Amkor Technology and Northwest Logic, we explored how our respective companies form an ecosystem to develop deep learning chips for the next generation of applications. We also had a keynote presentation on deep learning from Ty Garibay, C... » read more

Deconstructing Deep Learning


I discuss AI and deep learning a lot these days. The discussion usually comes back to “what is a deep learning chip?” These devices are basically hardware implementations of neural networks. While neural nets have been around for a while, what’s new is the performance advanced semiconductor technology brings to the party. Applications that function in real time are now possible. But wh... » read more

In Case You Missed It


We recently held two very successful seminars in Tokyo and Shanghai. Samsung Memory presented their HBM2 solutions, Samsung Foundry talked about their advanced 14nm FinFET solutions, ASE Group reviewed their advanced 2.5D packaging solutions, eSilicon presented our ASIC and 2.5D design/implementation and IP solutions, Rambus detailed their high-performance SerDes solutions and Northwest Logic p... » read more

What’s Next?


We just concluded two very successful seminars in Tokyo and Shanghai. Samsung Memory presented their HBM2 solutions, Samsung Foundry talked about their advanced 14nm FinFET solutions, ASE Group reviewed their advanced 2.5D packaging solutions, eSilicon presented our ASIC and 2.5D design/implementation and IP solutions, Rambus detailed their high-performance SerDes solutions and Northwest Logic ... » read more

Advanced ASICs: It Takes An Ecosystem


I remember the days of the IDM (integrated device manufacturer). For me, it was RCA, where I worked for 15 years as the company changed from RCA to GE and then ultimately to Harris Semiconductor. It’s a bit of a cliché, but life was simpler then, from a customer point of view at least. RCA did it all. We designed all the IP, did the physical design, owned fabs, assembly and test facilities a... » read more

Talking The Talk On Training


In my prior post, I discussed the value of good design flow training. A properly executed program can turn average engineers into above average problem solvers with the right tools and techniques. We got to thinking about this opportunity quite seriously at eSilicon. Is there a way to develop a focused, intense training program to create a new “army” of elite designers? In short, we thin... » read more

Training As A Strategic Weapon


In my last post, I discussed the topic of applying machine learning to the design of machine learning chips. I pointed out that one can achieve significant improvements in schedule predictability, PPA compliance and an overall reduction in program risk if machine learning is applied to the right kind of knowledge base. This is very real, and we are seeing the benefits of this approach daily. Bu... » read more

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