Paper
2 March 2023 Embedded platform characterization for interface throughput and computing power in common 8/16/32-bit platforms
Andrei Simion, Calin Bira, Valentin-Gabriel Voiculescu
Author Affiliations +
Proceedings Volume 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI; 1249323 (2023) https://doi.org/10.1117/12.2643278
Event: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies 2022, 2022, Constanta, Romania
Abstract
This paper is a guide for selecting an IoT embedded platform depending on the required performance, in streaming scenarios: data is received via UART, is processed (e.g. IAXPY, GEMM, AES encryption) and then is sent back via the same data interface. Platforms: 8-bit AVR (ATMEGA328P of Arduino UNO), 16-bit TI (MSP430), 32-bit RP2040 (Pi Pico board), 32-bit LX6 (ESP8266 and ESP32), 32-bit TI (CC3200), 32-bit STM32.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrei Simion, Calin Bira, and Valentin-Gabriel Voiculescu "Embedded platform characterization for interface throughput and computing power in common 8/16/32-bit platforms", Proc. SPIE 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI, 1249323 (2 March 2023); https://doi.org/10.1117/12.2643278
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KEYWORDS
Matrices

Sensors

System on a chip

Telecommunications

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