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 Extends Support for Automotive Solutions on Arm Zena Compute Subsystems
- The Role of GPU in AI: Tech Impact & Imagination Technologies
- Time-of-Flight Decoding with Tensilica Vision DSPs - AI's Role in ToF Decoding
- Synopsys Expands Collaboration with Arm to Accelerate the Automotive Industry’s Transformation to Software-Defined Vehicles
- Deep Robotics and Arm Power the Future of Autonomous Mobility