Multiple simple and parallel processors with monitored redundancy keep vehicle automation running through faults while meeting ASIL-D safety needs.
Dedicated on-chip game and AI engines avoid server data transfer, improving real-time machine learning speed, privacy, and control.
Low-way, high-latency memory instances pair with local processor subunits and buses to improve parallel data access without centralized arbitration.
Atomic event signaling over a processor local bus enables concurrent multi-core communication without dedicated interrupt lanes.
A scalable alternation network splits matching vectors into odd and even components using cascaded logic gates to enable fast asynchronous data propagation.
An external auxiliary execution unit interface connects a processing core to an off-chip execution unit for instruction format conversion.
Segmenting a processor into dedicated processing units reduces CPU load and power consumption while maintaining system operation efficiency.
Shift buffers chain input data to systolic arrays, minimizing repetitive memory access and energy consumption during convolution operations.