Speeding power estimation from weeks to hours
Ophir Turbovich, Cambridge Silicon Radio and Thomas Li, SpringSoft
EETimes (11/19/2012 10:59 AM EST)
This paper describes a new methodology that automatically generates a chip design’s gate-level waveform from the RTL design environment without the need to bring up the gate-level environment. The new waveform generation methodology reduces the effort to perform gate-level power estimation from weeks to hours, using established EDA technology from Springsoft and Cambridge Silicon Radio's established power estimation flow and tools. This major reduction in effort and increase in designer productivity enables CSR to analyze power characteristics much earlier in the design flow than is practically possible using traditional, high-effort gate-level analysis. Moreover, the new methodology produces waveforms identical (or nearly identical) to those generated by gate-level simulation. Consequently, the design can be analyzed and optimized iteratively throughout the post-synthesis design flow, enabling much earlier detection and easier resolution of power issues. The paper discusses:
- Power analysis challenge
- New automated gate-level waveform methodology
- Springsoft’s Siloti™ Visibility Automation System
- Analysis results
To read the full article, click here
Related Semiconductor IP
- ReRAM NVM in DB HiTek 130nm BCD
- UFS 5.0 Host Controller IP
- PDM Receiver/PDM-to-PCM Converter
- Voltage and Temperature Sensor with integrated ADC - GlobalFoundries® 22FDX®
- 8MHz / 40MHz Pierce Oscillator - X-FAB XT018-0.18µm
Related Articles
- Accurate and Efficient Power estimation Flow For Complex SoCs
- Unified Methodology for Effective Correlation of SoC Power Estimation and Signoff
- Performances Estimation Metamodel for MDA Based SoC Design
- Towards Activity Based System Level Power Estimation
Latest Articles
- An FPGA-Based SoC Architecture with a RISC-V Controller for Energy-Efficient Temporal-Coding Spiking Neural Networks
- Enabling RISC-V Vector Code Generation in MLIR through Custom xDSL Lowerings
- A Scalable Open-Source QEC System with Sub-Microsecond Decoding-Feedback Latency
- SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
- An FPGA Implementation of Displacement Vector Search for Intra Pattern Copy in JPEG XS