👉 Specialized computing, also known as domain-specific computing or accelerator computing, refers to the use of hardware designed for specific tasks to enhance performance and efficiency beyond what general-purpose CPUs can achieve. This involves creating custom processors, such as GPUs for graphics processing, TPUs for machine learning, or FPGAs for flexible, reconfigurable operations, tailored to handle particular computational workloads. By offloading these tasks to specialized hardware, systems can process data faster and consume less power, leading to significant improvements in performance for applications like deep learning, scientific simulations, and high-performance computing. This approach leverages the unique capabilities of each specialized device to optimize performance for specific tasks, making it a crucial aspect of modern computing architectures.
