👉 Active computing refers to the use of specialized hardware and software designed to perform specific computational tasks more efficiently than general-purpose processors. This approach involves dedicated chips, such as Graphics Processing Units (GPUs) or Field-Programmable Gate Arrays (FPGAs), which are optimized for parallel processing and can handle complex, data-intensive operations like machine learning, scientific simulations, and image processing. By offloading these tasks to active computing systems, we can achieve higher performance, lower power consumption, and better scalability compared to traditional computing architectures. Active computing is crucial in fields like artificial intelligence, big data analytics, and high-performance computing where the ability to process large volumes of data quickly and accurately is paramount.
