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The market opportunities for machine learning hardware are becoming more succinct, with the following (rather broad) categories emerging:
- Model training: models are evaluated at the “hyperscale” data center; utilizing either general purpose processors or specialized hardware, with typical numeric precision of 32-bit
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We have learned from nature that two characteristics are helpful for success, diversity and adaptability. The same has been shown to be true for computing systems. Things have come a long way from when CPU centric computing was the only choice. Much heavy lifting these days is done by GPUs, ASICs, and FPGAs, with CPUs in a support … Read More
When it comes to Arm, we think mostly of phones and the “things” in the IoT. We know they’re in a lot of other places too, such as communications infrastructure but that’s a kind of diffuse image – “yeah, they’re everywhere”. We like easy-to-understand targets: phones, IoT devices, we get those. More recently Arm started to talk about… Read More
Arguably the cloud was the quickest road to riches for chip designers large and small. As an emerging company, if you wanted to raise money just put “Datacenter” in your pitch deck and you were assured millions. You would be competing with semiconductor’s version of David and Goliath (AMD and Intel) but that was a good thing, right?… Read More
I am old enough to remember when cars did not come with air conditioning unless you purchased it as an option. Of course, now you can’t even find a car that doesn’t come with air conditioning. So, it goes with Advanced driver assistance systems (ADAS). They are becoming more and more common and will certainly become baseline features… Read More
We’re confirming seats in São Paulo, Porto Alegre, Montevideo, Buenos Aires and Bucaramanga for the South American leg of our worldwide 2019 SiFive Tech Symposiums and Workshops. These five events will be focused heavily on academia, which is a key focus for SiFive. In fact, we are co-hosting these events with many of the most prestigious… Read More
I sat in a couple of panels at Arm TechCon this year, the first on how safety is evolving for platform-based architectures with a mix of safety-aware IP and the second on lessons learned in safety and particularly how the industry and standards are adapting to the larger challenges in self-driving, which obviously extend beyond … Read More
At TechCon I had a 1×1 with Steve Roddy, VP of product marketing in the Machine Learning (ML) Group at Arm. I wanted to learn more about their ML direction since I previously felt that, amid a sea of special ML architectures from everyone else, they were somewhat fudging their position in this space. What I heard earlier was that… Read More
ReRAM Revisitedby Bernard Murphy on 11-06-2019 at 6:00 amCategories: AI, IP
I met with Sylvain Dubois (VP BizDev and Marketing of Crossbar) at TechCon to get an update on his views on ReRAM technology. I’m really not a semiconductor process guy so I’m sure I’m slower than the experts to revelations in this area. But I do care about applications so I hope I can add an app spin on the topic, also Sylvain’s views on… Read More
From the Selfie to Samantha: The Next Trillion-Dollar Behavior