Towards Exascale Computing for Autonomous Driving

Autonomous driving is emerging as one of the most computationally demanding technologies of modern times. We report a high-level roadmap towards satisfying the ever-increasing computational needs and requirements of autonomous mobility that is easily at exascale level. We demonstrate that hardware solutions alone will not be sufficient, and exascale computing demands should be met with a combination of hardware and software. In that context, algorithms with reduced computational complexities will be crucial to provide software solutions that will be integrated with available hardware, which is also limited by various mobility restrictions, such as power, space, and weight.