Intel announced today that they are partnering with cloud and EDA companies to better enable their foundry business. This is a natural extension of the Accelerator ecosystem program announced earlier. More and more chip designs are being done in the cloud and from my experience cloud based designs are better. Some companies use… Read More
Dan and Mike are joined by Michael Johnson (MJ), CTO at NetApp. MJ provides “behind the scene” insights into NetApp technology and how it has quietly revolutionized information storage and management for chip design. The key enabling technologies along with specific use cases are discussed. MJ also discusses moving… Read More
A company that gets its products to market first stands to gain a competitive edge in the market place. This is even more so in the highly competitive and innovative semiconductor industry. At the same time, designing chips is a very challenging task that involves iterative steps that are computation, memory and storage intensive.… Read More
A decade ago, many of us heard commentaries on how entrepreneurs were turned down by venture capitalists for not including a cloud strategy in their business plan, no matter what the core business was. Humorous punchlines such as, “It’s cloudy without any clouds” and “Add some cloud to your strategy and your future will be bright… Read More
The above title refers to a webinar that was hosted by Altair on April 28th. Chip design in the cloud is not a new idea. So, what is the big deal with the above title. Sometimes titles don’t reveal the full story. Annapurna Labs happens to be an Amazon company. It used to be an independent semiconductor company that was acquired by Amazon… Read More
Why burst EDA workloads to the cloud
Time to market challenges are nothing new to those of us who have worked in the semiconductor industry. Each process node brings new opportunities s along with increasingly complex design challenges. 7nm, 5nm and 3nm process nodes have introduced scale, growth, and data challenges at a level… Read More
Pressing demands on compute speeds, storage capacity and rapid access to data are not new to the semiconductor industry. A desire for access to on-demand computing resources have always been there. During pre-cloud-computing era, companies provisioned on-demand compute capacity by procuring high performance computing … Read More
IDC has forecasted that over the next five years, the Global Datasphere — the amount of data that’s created, transferred over the network and stored each year — will increase by over 3X to 175 zettabytes (Figure 1). Much of this is driven by the Internet of Things (IoT), video applications (including video streaming,… Read More
Perforce recently held their virtual Embedded DevOps Summit. There was a lot of great presentations across many disciplines. Of particular interest to me, and likely to the SemiWiki readership as well, was a presentation by Warren Savage entitled Secure Collaboration on a Cloud-based Chip Design Environment. I’ll provide … Read More
Let’s face it, AI is everywhere. From the cloud to the edge to your pocket, there is more and more embedded intelligence fueling efficiency and features. It’s sometimes hard to discern where human interaction ends, and machine interaction begins. The technology that underlies all this is quite complex and daunting to understand.… Read More
