Lowering Energy Consumption in Always-on IoT Designs
As a lead design engineer on the Tensilica R&D team, Dr. Avinash Lingamneni certainly understands the trials and tribulations of developing always-on applications for the Internet of Things (IoT), wearable, and wireless markets. His team develops Cadence’s Tensilica Fusion DSP. Over the summer, Avinash, who has a Ph.D. in electrical and computer engineering from Rice University, discussed energy-efficient signal processing for IoT applications at the Linley IoT Conference. Afterwards, we sat down to discuss IoT processors, cognitive layering, and Avinash's unique approach to lowering energy consumption in computers. Listen in.
To read the full article, click here
Related Blogs
- Driving Higher Energy Efficiency in Automotive Electronics Designs
- How to Design to the "Always-on" IoT Imperative
- Next-Gen Cadence Tensilica Vision Processor Core Claims Big Performance, Energy Consumption Gains
- Energy Efficient Designs with MIPI
Latest Blogs
- Cadence Announces Industry's First Verification IP for Embedded USB2v2 (eUSB2v2)
- The Industry’s First USB4 Device IP Certification Will Speed Innovation and Edge AI Enablement
- Understanding Extended Metadata in CXL 3.1: What It Means for Your Systems
- 2025 Outlook with Mahesh Tirupattur of Analog Bits
- eUSB2 Version 2 with 4.8Gbps and the Use Cases: A Comprehensive Overview