Keysight Technologies announced the PathWave Advanced Design System (ADS) 2022, a comprehensive workflow solution that reduces design time and de-risks product development for Double Data Rate 5 (DDR5), Low-Power Double Data Rate 5 (LPDDR5) and Graphics Double Data Rate 6 (GDDR6) memory systems. From cloud computing to autonomous vehicles, the demand for faster memory interfaces is accelerating. A disruptive technology feature of fast interfaces such as DDR5, LPDDR5 and GDDR6 is equalization on the memory chip's receivers, which recovers signals degraded by their path through the printed circuit board (PCB).
Hardware engineers need to minimize the risk of signal integrity issues in memory bus designs, which requires the ability to predict the signal quality after equalization, prototype the design and test for performance. Keysight's PathWave ADS 2022, a design and test workflow for next-generation memory, enables hardware engineers to meet time-to-market requirements and deliver a high-performance, reliable end-product.
The Memory Designer in PathWave ADS 2022 addresses the following design challenges:
Model the transmitter and receiver behavior accurately by generating advanced simulation models of both DDR transmitters and receivers, with flexible equalization and external clock inputs.
Optimize equalization settings to predict design margins with an advanced simulator that uses adaptive equalization to find the optimal settings for the best signal integrity of the data link.
Quantify margin to the eye-mask by predicting eye closure down to standard-specific Bit-Error-Rates, and report remaining margin to the eye-mask.
Find failing conditions with design exploration by generating a batch simulation list to sweep through all possible design parameters and report passing/failing configurations as spreadsheet data.
Confidence in design sign-off, from design through to test by performing an automated compliance report on simulated signal waveforms and utilizing consistent measurement science to identify issues early and trial potential fixes efficiently
