Parallel Algorithms MCQs With Answers

Which parallel algorithm approach is suitable for problems where tasks need to be synchronized and coordinated?

Which parallel algorithm model is suitable for applications where each processor executes a different task on different data sets?

Which parallel algorithm technique aims to exploit concurrency by dividing the computation into stages with data flowing through them?

Which parallel algorithm model is characterized by processors executing different programs on different sets of data?

Which parallel algorithm strategy involves combining results from different stages of computation?

Which parallel algorithm technique is commonly used for image processing and scientific simulations?

Which parallel algorithm strategy focuses on combining results from different processors to achieve a final solution?

Which parallel algorithm approach is suitable for problems where tasks can be executed independently without synchronization?

Which parallel algorithm technique focuses on overlapping the execution of tasks to improve overall throughput?

Which parallel algorithm approach involves processing multiple elements of data at the same time using parallelism?

Which parallel algorithm approach is suitable for problems where tasks depend on each other's results and need synchronization?

Which parallel algorithm technique is effective for problems where tasks can be executed independently and in parallel?

Which parallel algorithm strategy involves dividing the problem into smaller subproblems and solving them independently?

Which parallel algorithm technique involves breaking down a problem into smaller tasks that can be executed concurrently and then combining their results?

Which parallel algorithm model allows processors to execute the same program but on different sets of data?

Which parallel algorithm paradigm involves recursively breaking down a problem into smaller subproblems?

Which parallel algorithm model is commonly used in GPU computing for performing computations on multiple data simultaneously?

Which parallel algorithm technique focuses on solving the same problem with different inputs simultaneously?

Which parallel algorithm technique focuses on dividing the computation into stages with data flowing through them concurrently?

Which parallel algorithm paradigm aims to solve problems by combining solutions to subproblems?

Which parallel algorithm strategy focuses on reducing the problem size or complexity before parallel execution?

Which parallel algorithm model is characterized by processors executing different programs on different data sets?

Which parallel algorithm model allows processors to execute different programs independently on their own data?

Which parallel algorithm strategy involves breaking down a problem into smaller subproblems and solving them independently?

Which parallel algorithm strategy involves partitioning the problem into smaller chunks and solving them independently?

Which parallel algorithm approach involves executing multiple threads or processes concurrently, each performing a distinct task?

Which parallel algorithm approach involves executing multiple threads or processes that perform different tasks simultaneously?

Which parallel algorithm model allows processors to execute different instructions on different data sets?

Which parallel algorithm strategy aims to improve performance by decomposing a problem into smaller independent tasks?

Which parallel algorithm approach is suitable for problems where tasks can be executed concurrently without dependency?

Which parallel algorithm technique is used for solving problems where tasks can be executed independently with minimal communication?

Which parallel algorithm model is characterized by processors executing the same program but on different sets of data?

Which parallel algorithm approach involves dividing the input data into segments and processing each segment concurrently?

Which parallel algorithm model is commonly used in distributed computing environments where processors communicate via message passing?

Which parallel algorithm technique is effective for problems where the same operation needs to be performed on multiple data elements simultaneously?

Which parallel algorithm technique focuses on breaking down a problem into smaller tasks and assigning each task to a different processor?

Which parallel algorithm paradigm involves breaking down a problem into smaller tasks that can be executed concurrently?

Which parallel algorithm technique focuses on executing multiple threads within the same process to achieve parallelism?

Which parallel algorithm model allows multiple processors to work on different parts of the same problem simultaneously?

Which parallel algorithm technique is commonly used in graphics processing units (GPUs) for performing the same operation on multiple data points simultaneously?