A Level Computer Science OCR Practice Exam

Which scenario is best suited for Single Instruction, Multiple Data (SIMD)?

1. Managing complex algorithms in database systems

2. Executing varied tasks in artificial intelligence

3. Performing the same operation on different data elements

4. Controlling hardware operations independently

The correct answer is: Performing the same operation on different data elements

Single Instruction, Multiple Data (SIMD) is a parallel computing architecture that allows a single instruction to be executed simultaneously on multiple data points. This method is particularly effective when processing large volumes of data that require the same type of operation to be carried out on each element. In the context of scenario C, the ability to perform the same operation on multiple data elements is the ideal use case for SIMD. For example, in image processing, where the same filter might be applied across all pixels, SIMD can process multiple pixels at once, significantly enhancing performance and speed. Other options present different contexts in which SIMD would not be as effective. Managing complex algorithms in database systems generally involves a variety of operations that may not be uniform across data sets, which goes against the essence of SIMD's operational uniformity. Execution in artificial intelligence often entails diverse tasks that require different processing, not conducive to a single instruction handling simultaneous multiple data points. Similarly, controlling hardware operations independently suggests a need for distinct instructions tailored to individual hardware components, which does not align with the SIMD approach of executing the same instruction across multiple data locations.