For decades, companies across industries have effectively relied on PLM tools to manage products from inception to market deployment. Yet, a similar process designed for silicon chips — often closely embedded in virtually every aspect of our everyday lives from automating factories to powering our smartphones and laptops — is only now just starting to emerge.
The concept of SLM, or end-to-end silicon product management, has been gaining ground for the past few years in response to this industry gap. Based on the tried-and-tested PLM building blocks, SLM is an emerging concept within the industry aimed at making product development and deployment more deterministic through a cross-lifecycle approach.
SLM is also a broad process that includes monitoring and analyzing semiconductor devices as they are designed, produced, tested, and delivered into end-user systems.
The insights gathered from this analysis are used to optimize both the semiconductor and end-user systems throughout their product value chain, from design and manufacturing to testing and maintenance.
While a comprehensive platform of several tools and technologies can reap more benefits, an SLM process consists of two primary phases:
- Embedding sensors, monitors, and structures in silicon designs to gain insight into device production and in-field performance
- Collecting and processing data throughout the lifecycle of silicon devices to provide analytics that can power in-design, in-production, and in-field optimizations
With SLM, semiconductor designers can deploy the “see, control, and optimize” philosophy. The embedded monitors and sensors collect and feed parametric and real-time data to engineering teams that directly translate to the improvement of a silicon system’s quality, performance, and reliability.
SLM’s ability to predict maintenance and failure in the field makes it a prime use case for hyperscaler, consumer, and automotive applications.