Designing low-energy embedded systems from silicon to software
Keith Odland, Silicon Laboratories
EDN (November 28, 2012)
Low-energy system design requires attention to nontraditional factors ranging from the silicon process technology to the software that runs on microcontroller-based embedded platforms. Closer examination at the system level reveals three key parameters that determine the energy efficiency of a microcontroller: active-mode power consumption; standby power consumption; and the duty cycle, which determines the ratio of time spent in either state and is itself determined by the behavior of the software.
A low-energy standby state can make an MCU seem extremely energy efficient, but its true performance is evident only after taking into account all of the factors governing active power consumption. For this and other reasons, trade-offs among process technology, IC architecture, and software construction are some of the many decisions with subtle and sometimes unexpected outcomes. The manner in which functional blocks on an MCU are combined has a dramatic impact on overall energy efficiency. Even seemingly small and subtle changes to the hardware implementation can result in large swings in overall energy consumption over a system’s lifetime.
To read the full article, click here
Related Semiconductor IP
- eUSB2V2.0 Controller + PHY IP
- I/O Library with LVDS in SkyWater 90nm
- 50G PON LDPC Encoder/Decoder
- UALink Controller
- RISC-V Debug & Trace IP
Related Articles
- From I2C to I3C: Evolution of Two-Wire Communication in Embedded Systems
- Self-testing in embedded systems: Software failure
- Retargeting IP -> Design system compiles silicon straight from C code
- IP vendors making leap from source code to silicon
Latest Articles
- ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design
- COVERT: Trojan Detection in COTS Hardware via Statistical Activation of Microarchitectural Events
- A Reconfigurable Framework for AI-FPGA Agent Integration and Acceleration
- Veri-Sure: A Contract-Aware Multi-Agent Framework with Temporal Tracing and Formal Verification for Correct RTL Code Generation
- FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design