Tensilica P6 boosts image recognition performance for ADAS chip
Offering up to 3.8X more power efficiency than CPUs alone and 1024 giga-operations (GOPS) of processing power, the Vision P6 DSP serves as offload engine, efficiently processing vision and AI workloads to meet the demands for accurate detection and identification of objects, Cadence advertises.
Besides compactness, performance and low power consumption, the Tensilica ecosystem was a deciding factor for Toshiba’s choice, said Cadence. The Japanese chipmaker has integrated the Cadence Xtensa Imaging Library (Xi-Lib) into its software development kit (SDK), enabling its customers to easily access the Vision P6 DSP to execute custom algorithms. Using the Xi-Lib enabled Toshiba to port their existing vision algorithms to run on the DSP, reducing development time and effort. In addition, the Vision P6 DSP core, development tools and libraries are all designed to enable SoC vendors to achieve ISO 26262 automotive safety integrity level D (ASIL D) certification.
Toshiba has integrated the Cadence Xtensa Imaging Library (Xi-Lib) into its software development kit (SDK), enabling its customers to easily access the Vision P6 DSP to execute custom algorithms, further strengthening its SDK offering. Using the Xi-Lib allowed Toshiba to easily port their existing vision algorithms to run on the DSP, reducing development time and effort. In addition, the Vision P6 DSP core, development tools and libraries are all designed to enable SoC vendors to achieve ISO 26262 automotive safety integrity level D (ASIL D) certification.
“The Cadence Tensilica Vision P6 DSP provides outstanding performance as the image recognition processor in our next-generation ADAS chip. This DSP enabled us to execute complex algorithms for accurate detection and identification of a wide range of objects while consuming very low power, which is crucial for today’s automotive applications,” said Nobuaki Otsuka, Technology Executive at Toshiba Electronic Device & Storage Corporation. “The integration of four Vision P6 DSPs in our design gives an immense amount of performance throughput and headroom to meet current and future requirements for many of our advanced driver assistance systems and autonomous driving functions.”
The Vision P6 DSP also supports AI applications developed in the Caffe and TensorFlow frameworks through the Tensilica Neural Network Compiler (XNNC). The compiler maps neural networks (NNs) into executable and highly optimized high-performance code for the Vision P6 DSP, leveraging a comprehensive set of optimized neural network library functions from the Tensilica NN library. The Vision P6 DSP also supports the Android Neural Network (ANN) API for on-device AI acceleration in Android-powered devices. The Vision P6 DSP has been integrated in top-tier mobile phone application processors, surveillance camera processors and AR/VR processors.
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