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Beyond a Single-Board Computer: A Systematic Study of Raspberry Pi Architecture, Comparative Analysis of Raspberry Pi Models, and Insights with NVIDIA Jetson for Embedded Computing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 90 |
| Year of Publication: 2026 |
| Authors: Smit Rupera, Parthrajsinh Mori, Mahi Patel, Dev Sojitra, Mansi Shanishwara |
10.5120/ijca2026926573
|
Smit Rupera, Parthrajsinh Mori, Mahi Patel, Dev Sojitra, Mansi Shanishwara . Beyond a Single-Board Computer: A Systematic Study of Raspberry Pi Architecture, Comparative Analysis of Raspberry Pi Models, and Insights with NVIDIA Jetson for Embedded Computing. International Journal of Computer Applications. 187, 90 ( Mar 2026), 9-15. DOI=10.5120/ijca2026926573
Abstract
The Raspberry Pi represents a low-cost, small sized single board computer designed to encourage computer science education and provide applications for various purposes. Over the years, the Raspberry Pi has become a flexible computing platform for education, embedded applications, the Internet of Things (IoT) community, robotics, home automation, and industrial automation. This study gives a complete description of the Raspberry Pi system. It includes the computer system architecture, the history of the Raspberry Pi system on chip, the available memory and storage solutions, connectivity modules, and support for various external devices. A comparison among various Raspberry Pi boards explains the performance variations, power requirements, and applications of the Raspberry Pi 4 Model B and the Raspberry Pi Zero 2 W. The use of Raspberry Pi operating system software and various computer science education tools, such as Python, Scratch, Greenfoot, and BlueJ, has been discussed to demonstrate the viability of Raspberry Pi for computer science education. The Raspberry Pi computer represents a scalable, efficient, and accessible platform. It fills the gap for computer science education and engineering applications across various fields of study.
References
- E. Upton and G. Halfacree, Raspberry Pi User Guide, 4th ed. Hoboken, NJ, USA: Wiley, 2016.
- Wikipedia Contributors, “Raspberry Pi,” Wikipedia, The Free Encyclopedia, 2025. [Online]. Available: https://en.wikipedia.org/wiki/Raspberry_Pi
- S. Balon and M. Simic, “Using Raspberry Pi in computer science education,” in Proc. MIPRO, 2019, pp. 1230–1235, doi:10.23919/MIPRO.2019.8756967.
- D. Molloy, Exploring Raspberry Pi: Interfacing to the Real World with Embedded Linux, 2nd ed. Wiley, 2016.
- L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A survey,” Computer Networks, vol. 54, no. 15, pp. 2787–2805, 2010.
- L. Da Xu, W. He, and S. Li, “Internet of Things in industries,” IEEE Trans. Industrial Informatics, vol. 10, no. 4, pp. 2233–2243, 2014.
- M. Kölling, “Educational programming environments on the Raspberry Pi,” Electronics, vol. 5, no. 3, 2016, doi:10.3390/electronics5030033.
- M. Resnick et al., “Scratch: Programming for all,” Communications of the ACM, vol. 52, no. 11, pp. 60–67, 2009.
- J. Voogt et al., “Computational thinking in compulsory education,” Educational Technology & Society, vol. 18, no. 2, pp. 1–16, 2015.
- Raspberry Pi Foundation, “Raspberry Pi Documentation,” 2024. [Online]. Available: https://www.raspberrypi.com/documentation
- J. L. Hennessy and D. A. Patterson, Computer Architecture: A Quantitative Approach, 6th ed. Morgan Kaufmann, 2019.
- S. Gamess and J. Hernandez, “Performance evaluation of Raspberry Pi models for CPU-intensive workloads,” IEEE Conf. on Emerging Technologies, 2022.
- P. Raj and A. Raman, “Performance comparison of single-board computers for edge computing,” IEEE Access, vol. 8, pp. 211245–211256, 2020.
- R. Want, B. Schilit, and S. Jenson, “Enabling the Internet of Things,” IEEE Computer, vol. 48, no. 1, pp. 28–35, 2015.
- P. Bekaroo and A. Santokhee, “Power consumption analysis of Raspberry Pi devices,” International Journal of Computer Applications, vol. 150, no. 3, pp. 1–6, 2016.
- A. Carroll and G. Heiser, “An analysis of power consumption in embedded systems,” USENIX ATC, 2010.
- S. Mittal, “A survey of energy-efficient techniques in embedded systems,” IEEE Trters, vol. 63, no. 9, pp. 2209–2230, 2014.
- A. S. Tanenbaum and T. Austin, Structured Computer Organization, 6th ed. Pearson, 2013.
- Raspberry Pi Foundation, “Raspberry Pi OS Overview,” 2024. [Online]. Available: https://www.raspberrypi.com/software
- R. Love, Linux Kernel Development, 3rd ed. Addison-Wesley, 2010.
- Debian Project, “Debian GNU/Linux,” [Online]. Available: https://www.debian.org
- S. Aaron, A. Blackwell, and S. Burnard, “The development of Sonic Pi,” Journal of Music, Technology & Education, vol. 9, no. 1, pp. 75–90, 2016.
- A. Whitmore, A. Agarwal, and L. Da Xu, “The Internet of Things—A survey,” Information Systems Frontiers, vol. 17, pp. 261–274, 2015.
- W. Stallings, Operating Systems: Internals and Design Principles, 9th ed. Pearson, 2018.
- NVIDIA Corporation, “NVIDIA Jetson platform overview,” 2024. [Online]. Available: https://developer.nvidia.com/embedded-computing
- NVIDIA Corporation, “CUDA Toolkit Documentation,” 2024. [Online]. Available: https://docs.nvidia.com/cuda
- W. Shi et al., “Edge computing: Vision and challenges,” IEEE Internet of Things Journal, vol. 3, no. 5, pp. 637–646, 2016.
- NVIDIA Corporation, Jetson Nano Developer Kit User Guide, 2023.
- S. Hankel and B. Rexroth, “The reference architectural model Industrie 4.0,” ZVEI, Germany, 2015.
- TECHBASE, “ModBerry industrial computer based on Raspberry Pi,” 2018.
- SUSE, “SUSE Linux Enterprise support for Raspberry Pi,” 2018.
- J. Redmon et al., “You Only Look Once: Unified real-time object detection,” IEEE CVPR, 2016.
- Owens, John D., Mike Houston, David Luebke, Simon Green, John E. Stone, and James C. Phillips. "GPU computing." Proceedings of the IEEE 96, no. 5 (2008): 879-899.
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