Synopsys Blog

Synopsys Blog

By Raja Tabet, Sr. VP of Engineering, and Anand Thiruvengadam, Product Marketing Director, Custom Design and Physical Verification Group

In our data-driven world, applications like high-performance computing (HPC) and artificial intelligence (AI) are taking center stage, delivering intelligence and insights that are transforming our lives. However, the growing complexities of HPC and AI designs are driving the need for much more complex semiconductor devices. Increasingly, multiple components and technologies are coming together in hyper-convergent designs to meet demands for bandwidth, performance, and power for these compute-intensive applications. To achieve power, performance, and area (PPA) targets, such complex chips need to be analyzed as a single system—an approach that’s difficult to support via traditionally disparate tools. In this post, originally published in the “From Silicon to Software” blog, we’ll examine the trend of IC hyperconvergence and explain why the traditional, disaggregated approach to circuit simulation is no longer sufficient.