Linley Microprocessor Report: Ceva Tackles Unstructured Sparsity

Ceva-NeuPro-M deep-learning accelerator (DLA) offers 16x faster inferencing than the previous generation thanks to its new architecture.
The licensable core showcases Winograd-convolution and unstructured-sparsity engines, which boost performance and reduce power consumption.
These accelerators also keep multiply-accumulate (MAC) units busy, increasing utilization.