Open Access
37- https://doi.org/10.1145/3466752.3480077
Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization
- Oct 17, 2021
- Weizhuang Liu +6 more
Abstract
Despite many recent efforts, accelerating robotic computing is still fundamentally challenging for two reasons. First, robotics software stack is extremely complicated. Manually designing an accelerator while meeting the latency, power, and resource specifications is unscalable. Second, the environment in which an autonomous machine operates constantly changes; a static accelerator design leads to wasteful computation.
- # Orders Of Magnitude Performance Improvement
- # Accelerator Design
- # Run Time
- # Static Design
- # High-level Description
- # Case Study
- # Static Accelerator
- # FPGA-based Accelerator
- # Autonomous Machine
- # High-level Algorithm
