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55nmHV MTP Non Volatile Memory for Standard CMOS Logic Process
Industry Expert Blogs
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The CEVA-XM6 Vision Processor Core Boosts Performance for Embedded Deep Learning ApplicationsInside DSP - BDTiOct. 11, 2016 |
Hard on the heels of the public release of CEVA's second-generation convolutional neural network toolset, CDNN2, the company is putting the final touches on its fifth-generation processor core, the CEVA-XM6, designed to run software generated by that toolset. Liran Bar, the company's Director of Product Marketing, acknowledged in a recent briefing that the new core represents an evolutionary step, versus revolutionary break, from its predecessors: the CEVA-MM3101 (introduced in 2012) and the CEVA-XM4 (which debuted in 2015). However, particularly if your deep learning-based or otherwise computationally demanding application would benefit from an expansion in available MAC (multiply-accumulate operation) throughput, the CEVA-XM6 will likely be a welcome addition to the product family.
Before diving into architecture details, however, the first question BDTI asked Bar in a recent briefing was what happened to the CEVA-XM5? Bar admitted that the product naming transition from the CEVA-XM4 directly to the CEVA-XM6 was a bit odd, although he declined to share any specifics on the background behind the decision.
