The Sunday of IEDM is always two full-day short courses. One is on the future of memory technology, one is on the future of logic technology. This year the logic one was titled Boosting Performance, Ensuring Reliability, Managing Variation in Sub-5nm ...
With 2017 just out of the door, this is a good time to stop for a few minutes, look back at 2017, and plan ahead for 2018 and the years to come. While thinking of the projects and challenges awaiting you, don’t miss this ...
It was CES last week. Generally, this is not an event about mobile, mainly because the big show for that industry is Mobile World Congress (MWC), which takes place in Barcelona a month or so later. For the last couple of years, ...
As I said yesterday , it was the Consumer Electronics Show this week. I attended the two big keynotes. The opening keynote on Monday night is traditionally Brian Krzanich of Intel. The next morning, the day the show really opens (the exhibit floors ...
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Cadence Chalk Talks
Scaling Embedded Deep Learning Inference Performance with Dedicated Neural Network DSP
Neural networks are taking over a broad range of exciting applications these days. But, the amount of computation required for neural network inferencing can be daunting. In this episode of Chalk Talk, Amelia Dalton chats with Pulin Desai of Cadence Design Systems about some new processor IP designed specifically for neural network inferencing.
Click here for more information about Tensilica Vision DSPs for Imaging, Computer Vision, and Neural Networks
Fixed Point, Floating Point – What Are the Needs of DSP Applications?
When implementing DSP algorithms, the tradeoff between fixed- and floating-point math can have huge implications on performance and precision. In this episode of Chalk Talk, Amelia Dalton chats with Pushkar Patwardhan of Cadence Design Systems about making the critical decisions on floating-point versus fixed-point.
Click here for more information about Tensilica Customizable Processor and DSP IP.