Keysight Unveils Comprehensive Design and Test Workflow for Next-Generation Memory Designs
Keysight Technologies, Inc. (NYSE: KEYS) has launched its PathWave Advanced Design System (ADS) 2022, aimed at optimizing design processes for Double Data Rate (DDR) memory systems, including DDR5, LPDDR5, and GDDR6. This comprehensive workflow solution is designed to reduce development time and mitigate risks associated with product design. Enhanced functionality in equalization allows hardware engineers to address signal integrity challenges effectively. As demand for faster memory interfaces grows across various industries like cloud computing and autonomous vehicles, this innovation is poised to accelerate development timelines.
- Launch of PathWave Advanced Design System (ADS) 2022 enhances design efficiency.
- Addresses signal integrity issues in DDR5, LPDDR5, and GDDR6 memory systems.
- Supports hardware engineers in minimizing development risks.
- None.
Keysight Technologies, Inc. (NYSE: KEYS), a leading technology company that delivers advanced design and validation solutions to help accelerate innovation to connect and secure the world, announced a comprehensive workflow solution - PathWave Advanced Design System (ADS) 2022 - 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.
Keysight's PathWave ADS 2022 simulating DDR5 signals with equalization, designing signal vias, and performing electromagnetic simulation of the DDR signal nets in a PCB design. (Graphic: Business Wire)
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
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