Chiplets keep the scaling of integrated circuits (ICs) rolling
As data grows at an accelerating pace, more compute power and bandwidth are required to process this data, driving the need for larger and more complex system on chips (SoCs). This is particularly true at a time when our old friend Moore’s Law has lost a step.
However, as the complexity of SOCs increases, so do the costs to manufacture in leading-edge FinFET geometries. As misery loves company, achieving first-time-right silicon has become more difficult as well. Additionally, there are greater challenges for power scaling and yield. In other words, everything gets harder.
Chip disaggregation, or chiplets, offers an alternative to the traditional monolithic SoC scaling approach. Aggregating multiple chiplets to perform the function of a single monolithic IC de-risks the overall system by reducing complexity and increasing yields.
For applications like artificial intelligence (AI), where there is a “Cambrian explosion” in the number of SoCs and architectural approaches under development, chiplets are an ideal solution. Greater experimentation, and faster time to market are possible when a designer can revise a single chiplet as opposed to having to re-spin an entire SoC.
To read the full article, click here
Related Semiconductor IP
Related Blogs
- Synopsys and Alchip Collaborate to Streamline the Path to Multi-die Success with Soft Chiplets
- Navigating the Future of EDA: The Transformative Impact of AI and ML
- The Pillars of ReRAM Success
- DAC 2024 - Showcasing the future of RISC-V through EDA
Latest Blogs
- CNNs and Transformers: Decoding the Titans of AI
- How is RISC-V’s open and customizable design changing embedded systems?
- Imagination GPUs now support Vulkan 1.4 and Android 16
- From "What-If" to "What-Is": Cadence IP Validation for Silicon Platform Success
- Accelerating RTL Design with Agentic AI: A Multi-Agent LLM-Driven Approach