27 November 2020
Exploiting parallelism in NN workloads to realize scalable, high performance NN acceleration hardware
Conventional wisdom says to execute a huge computation task like AI you need a single huge processor. In our latest white paper, Tony King-Smith explains how by understanding the inherent parallelism in NN algorithms used in automotive AI systems, multiple smaller processors can deliver the same throughput with superior scalability, flexibility and robustness.
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