A Level Computer Science OCR Practice Exam

A key feature of a Graphical Processing Unit (GPU) is its ability to carry out simple instructions on large data sets efficiently. This is primarily due to the architecture of GPUs, which consists of many smaller, core processors designed to handle parallel processing. This capability makes GPUs particularly adept at tasks that require the same operation to be performed on multiple pieces of data simultaneously, such as in graphics rendering and machine learning. GPUs excel in scenarios where numerous calculations need to be executed in parallel, allowing them to process large volumes of data much more effectively than traditional CPUs, which are optimized for sequential processing. Thus, their strength lies in performing repetitive tasks across extensive datasets quickly, significantly enhancing performance in specific applications.