JExplore: Design Space Exploration Tool for Nvidia Jetson Boards
This tool addresses the need for researchers and engineers to benchmark and optimize Jetson board configurations, though it is incremental as it builds on existing configurability and search methods.
The authors tackled the problem of efficiently searching optimal hardware configurations for Nvidia Jetson boards in edge AI workloads by developing JExplore, a design space exploration tool that accelerates configuration evaluation and integrates with various search algorithms.
Nvidia Jetson boards are powerful systems for executing artificial intelligence workloads in edge and mobile environments due to their effective GPU hardware and widely supported software stack. In addition to these benefits, Nvidia Jetson boards provide large configurability by giving the user the choice to modify many hardware parameters. This large space of configurability creates the need of searching the optimal configurations based on the user's requirements. In this work, we propose JExplore, a multi-board software and hardware design space exploration tool. JExplore can be integrated with any search tool, hence creating a common benchmarking ground for the search algorithms. Moreover, it accelerates the exploration of user application and Nvidia Jetson configurations for researchers and engineers by encapsulating host-client communication, configuration management, and metric measurement.