ARC Processor Summit Proceedings
Presentation - Addressing the Evolving Processing Needs of IoT Applications
As IoT device implementations mature, in addition to meeting the integration and low-power demands of battery operated IoT applications, designers are looking to address the increasing processing needs of these applications. Sensor fusion has evolved into the broader scope of data fusion, where voice recognition, audio playback, face detection and basic gesture recognition complement the sensor processing functions on an IoT device. Ensuring secure operation and transmission of data is also critical for IoT devices supporting fitness and health applications, financial transactions and e-government products. Efficient processors and pre-verified, SoC-ready subsystems simplify the development of chips targeting ever more complex IoT applications with dedicated features addressing the evolving security and processing needs of these new IoT devices.
To manage this onslaught of new functionality, IoT edge devices increasingly require higher bandwidth analysis to be performed locally (on-chip). Synopsys and Renesas have worked together to build a new reference design supporting power efficient data fusion processing with higher performance MONOS embedded flash technology to provide the ideal power/performance trade-offs required for the next generation of IoT devices.
Rich Collins, Product Marketing Manager, Synopsys
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