👉 Panels computing, also known as multi-panel or multi-chip systems, refer to a computing architecture where multiple processing units or "panels" are integrated onto a single chip, each potentially handling different types of computations or tasks. This approach leverages the strengths of various processing technologies, such as CPUs for general-purpose tasks, GPUs for parallel processing, and specialized accelerators for specific functions like machine learning or cryptography. By distributing workloads across these panels, systems can achieve higher performance, better energy efficiency, and greater flexibility compared to traditional single-chip designs. This architecture is particularly beneficial for applications requiring high computational power, such as artificial intelligence, data analytics, and high-performance computing, where different parts of a problem can be optimized for the most suitable processing unit.
