Computer Architecture

Vector processing is an efficient technique for handling large datasets by performing operations on multiple data elements simultaneously. This chapter explores SIMD, which enhances parallel computing capabilities in CPUs and GPUs, enabling faster processing for various applications such as graphics rendering and machine learning. Furthermore, advancements in SIMD architectures and the rise of General-Purpose GPUs (GPGPUs) have transformed computation across sectors by efficiently managing vast amounts of parallelizable tasks.