JExplore: Design Space Exploration Tool for Nvidia Jetson Boards
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866910843791212544 |
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| author | Kutukcu, Basar Xie, Sinan Baidya, Sabur Dey, Sujit |
| author_facet | Kutukcu, Basar Xie, Sinan Baidya, Sabur Dey, Sujit |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_15773 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | JExplore: Design Space Exploration Tool for Nvidia Jetson Boards Kutukcu, Basar Xie, Sinan Baidya, Sabur Dey, Sujit Hardware Architecture Distributed, Parallel, and Cluster Computing Machine Learning 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. |
| title | JExplore: Design Space Exploration Tool for Nvidia Jetson Boards |
| topic | Hardware Architecture Distributed, Parallel, and Cluster Computing Machine Learning |
| url | https://arxiv.org/abs/2502.15773 |