What is the primary goal of parallel computing?
a) To minimize computational resources
b) To execute tasks sequentially
c) To increase computational speed and efficiency
d) To reduce the complexity of algorithms
Correct Answer: c) To increase computational speed and efficiency
Which of the following is NOT a characteristic of parallel computing?
a) Scalability
b) Reproducibility
c) Fault tolerance
d) Load balancing
Correct Answer: b) Reproducibility
What does Amdahl’s Law state regarding parallel computing?
a) It defines the theoretical maximum speedup that can be achieved with parallel processing.
b) It emphasizes the importance of sequential algorithms in parallel computing.
c) It highlights the need for load balancing in parallel systems.
d) It provides guidelines for fault tolerance in distributed systems.
Correct Answer: a) It defines the theoretical maximum speedup that can be achieved with parallel processing.
Which parallel computing architecture involves multiple processors sharing the same memory?
a) SIMD
b) MIMD
c) SMP
d) NUMA
Correct Answer: c) SMP
In parallel computing, what does SIMD stand for?
a) Single Instruction, Single Data
b) Single Instruction, Multiple Data
c) Multiple Instruction, Single Data
d) Multiple Instruction, Multiple Data
Correct Answer: b) Single Instruction, Multiple Data
Which of the following is a common programming model for parallel computing?
a) OpenMP
b) Python
c) HTML
d) MATLAB
Correct Answer: a) OpenMP
What is the purpose of data parallelism in parallel computing?
a) To execute the same operation on different data elements simultaneously
b) To synchronize parallel tasks
c) To reduce the communication overhead between processors
d) To handle fault tolerance in distributed systems
Correct Answer: a) To execute the same operation on different data elements simultaneously
Which of the following is an example of task parallelism?
a) Sorting a list of numbers concurrently
b) Performing matrix multiplication in parallel
c) Dividing a large task into smaller subtasks and executing them independently
d) Implementing a parallel reduction operation
Correct Answer: c) Dividing a large task into smaller subtasks and executing them independently
What is the primary advantage of using distributed memory systems in parallel computing?
a) Simplified programming model
b) Lower cost of hardware
c) Enhanced scalability
d) Reduced latency in communication
Correct Answer: c) Enhanced scalability
Which of the following is NOT a challenge in parallel computing?
a) Load balancing
b) Fault tolerance
c) Sequential execution
d) Scalability
Correct Answer: c) Sequential execution
What is the purpose of synchronization in parallel computing?
a) To reduce the complexity of algorithms
b) To ensure that parallel tasks execute in a coordinated manner
c) To maximize the utilization of computational resources
d) To minimize communication overhead between processors
Correct Answer: b) To ensure that parallel tasks execute in a coordinated manner
Which of the following is an example of a shared memory parallel computing architecture?
a) Message Passing Interface (MPI)
b) OpenMP
c) MapReduce
d) CUDA
Correct Answer: b) OpenMP
Which parallel computing architecture involves multiple processors with their own memory?
a) SMP
b) NUMA
c) MIMD
d) SIMD
Correct Answer: c) MIMD
What is the purpose of parallelism in computer science?
a) To minimize the utilization of computational resources
b) To reduce the efficiency of algorithms
c) To increase the computational speed and efficiency
d) To avoid the use of parallel processing techniques
Correct Answer: c) To increase the computational speed and efficiency
Which of the following is a characteristic of distributed memory systems?
a) All processors share the same memory space
b) Each processor has its own private memory
c) Processors communicate through a shared bus
d) Data is stored in a centralized memory unit
Correct Answer: b) Each processor has its own private memory
What is the purpose of task parallelism in parallel computing?
a) To execute multiple tasks simultaneously
b) To execute the same task on different data elements
c) To synchronize parallel tasks
d) To minimize communication overhead between processors
Correct Answer: a) To execute multiple tasks simultaneously
Which of the following is a disadvantage of parallel computing?
a) Reduced scalability
b) Increased communication overhead
c) Simplified programming model
d) Decreased speedup
Correct Answer: b) Increased communication overhead
Which of the following is NOT a type of parallelism in parallel computing?
a) Data parallelism
b) Task parallelism
c) Instruction parallelism
d) Process parallelism
Correct Answer: c) Instruction parallelism
What is the purpose of load balancing in parallel computing?
a) To maximize the utilization of computational resources
b) To minimize communication overhead between processors
c) To ensure that parallel tasks are evenly distributed among processors
d) To simplify the programming model for parallel systems
Correct Answer: c) To ensure that parallel tasks are evenly distributed among processors
Which of the following is a programming model for parallel computing on clusters?
a) OpenMP
b) CUDA
c) MPI
d) POSIX Threads
Correct Answer: c) MPI
What is the primary advantage of using shared memory systems in parallel computing?
a) Lower cost of hardware
b) Enhanced fault tolerance
c) Simpler programming model
d) Reduced communication overhead
Correct Answer: c) Simpler programming model
What is the purpose of parallel computing?
a) To execute tasks sequentially
b) To minimize computational resources
c) To increase computational speed and efficiency
d) To reduce the complexity of algorithms
Correct Answer: c) To increase computational speed and efficiency
Which of the following is a characteristic of parallel computing?
a) Sequential execution
b) Simplified programming model
c) Fault tolerance
d) Reduced scalability
Correct Answer: c) Fault tolerance
What does Amdahl’s Law state regarding parallel computing?
a) It emphasizes the importance of sequential algorithms in parallel computing
b) It provides guidelines for fault tolerance in distributed systems
c) It defines the theoretical maximum speedup that can be achieved with parallel processing
d) It highlights the need for load balancing in parallel systems
Correct Answer: c) It defines the theoretical maximum speedup that can be achieved with parallel processing
Which parallel computing architecture involves multiple processors sharing the same memory?
a) SIMD
b) MIMD
c) SMP
d) NUMA
Correct Answer: c) SMP
In parallel computing, what does SIMD stand for?
a) Single Instruction, Single Data
b) Single Instruction, Multiple Data
c) Multiple Instruction, Single Data
d) Multiple Instruction, Multiple Data
Correct Answer: b) Single Instruction, Multiple Data
Which of the following is a common programming model for parallel computing?
a) OpenMP
b) Python
c) HTML
d) MATLAB
Correct Answer: a) OpenMP
What is the purpose of data parallelism in parallel computing?
a) To execute the same operation on different data elements simultaneously
b) To synchronize parallel tasks
c) To reduce the communication overhead between processors
d) To handle fault tolerance in distributed systems
Correct Answer: a) To execute the same operation on different data elements simultaneously
Which of the following is an example of task parallelism?
a) Sorting a list of numbers concurrently
b) Performing matrix multiplication in parallel
c) Dividing a large task into smaller subtasks and executing them independently
d) Implementing a parallel reduction operation
Correct Answer: c) Dividing a large task into smaller subtasks and executing them independently
What is the primary advantage of using distributed memory systems in parallel computing?
a) Simplified programming model
b) Lower cost of hardware
c) Enhanced scalability
d) Reduced latency in communication
Correct Answer: c) Enhanced scalability
Which of the following is NOT a challenge in parallel computing?
a) Load balancing
b) Fault tolerance
c) Sequential execution
d) Scalability
Correct Answer: c) Sequential execution
What is the purpose of synchronization in parallel computing?
a) To reduce the complexity of algorithms
b) To ensure that parallel tasks execute in a coordinated manner
c) To maximize the utilization of computational resources
d) To minimize communication overhead between processors
Correct Answer: b) To ensure that parallel tasks execute in a coordinated manner
Which parallel computing architecture involves multiple processors with their own memory?
a) SMP
b) NUMA
c) MIMD
d) SIMD
Correct Answer: c) MIMD
What is the purpose of parallelism in computer science?
a) To minimize the utilization of computational resources
b) To reduce the efficiency of algorithms
c) To increase the computational speed and efficiency
d) To avoid the use of parallel processing techniques
Correct Answer: c) To increase the computational speed and efficiency
Which of the following is a characteristic of distributed memory systems?
a) All processors share the same memory space
b) Each processor has its own private memory
c) Processors communicate through a shared bus
d) Data is stored in a centralized memory unit
Correct Answer: b) Each processor has its own private memory
What is the purpose of task parallelism in parallel computing?
a) To execute multiple tasks simultaneously
b) To execute the same task on different data elements
c) To synchronize parallel tasks
d) To minimize communication overhead between processors
Correct Answer: a) To execute multiple tasks simultaneously
Which of the following is a disadvantage of parallel computing?
a) Reduced scalability
b) Increased communication overhead
c) Simplified programming model
d) Decreased speedup
Correct Answer: b) Increased communication overhead
Which of the following is NOT a type of parallelism in parallel computing?
a) Data parallelism
b) Task parallelism
c) Instruction parallelism
d) Process parallelism
Correct Answer: c) Instruction parallelism
What is the purpose of load balancing in parallel computing?
a) To maximize the utilization of computational resources
b) To minimize communication overhead between processors
c) To ensure that parallel tasks are evenly distributed among processors
d) To simplify the programming model for parallel systems
Correct Answer: c) To ensure that parallel tasks are evenly distributed among processors
Which of the following is a programming model for parallel computing on clusters?
a) OpenMP
b) CUDA
c) MPI
d) POSIX Threads
Correct Answer: c) MPI
What is the primary advantage of using shared memory systems in parallel computing?
a) Lower cost of hardware
b) Enhanced fault tolerance
c) Simpler programming model
d) Reduced communication overhead
Correct Answer: c) Simpler programming model
Which of the following is a characteristic of parallel computing?
a) Sequential execution
b) Simplified programming model
c) Fault tolerance
d) Reduced scalability
Correct Answer: c) Fault tolerance
What does Amdahl’s Law state regarding parallel computing?
a) It emphasizes the importance of sequential algorithms in parallel computing
b) It provides guidelines for fault tolerance in distributed systems
c) It defines the theoretical maximum speedup that can be achieved with parallel processing
d) It highlights the need for load balancing in parallel systems
Correct Answer: c) It defines the theoretical maximum speedup that can be achieved with parallel processing
Which parallel computing architecture involves multiple processors sharing the same memory?
a) SIMD
b) MIMD
c) SMP
d) NUMA
Correct Answer: c) SMP
In parallel computing, what does SIMD stand for?
a) Single Instruction, Single Data
b) Single Instruction, Multiple Data
c) Multiple Instruction, Single Data
d) Multiple Instruction, Multiple Data
Correct Answer: b) Single Instruction, Multiple Data
Which of the following is a common programming model for parallel computing?
a) OpenMP
b) Python
c) HTML
d) MATLAB
Correct Answer: a) OpenMP
What is the purpose of data parallelism in parallel computing?
a) To execute the same operation on different data elements simultaneously
b) To synchronize parallel tasks
c) To reduce the communication overhead between processors
d) To handle fault tolerance in distributed systems
Correct Answer: a) To execute the same operation on different data elements simultaneously
Which of the following is an example of task parallelism?
a) Sorting a list of numbers concurrently
b) Performing matrix multiplication in parallel
c) Dividing a large task into smaller subtasks and executing them independently
d) Implementing a parallel reduction operation
Correct Answer: c) Dividing a large task into smaller subtasks and executing them independently
What is the primary advantage of using distributed memory systems in parallel computing?
a) Simplified programming model
b) Lower cost of hardware
c) Enhanced scalability
d) Reduced latency in communication
Correct Answer: c) Enhanced scalability
Which of the following is NOT a challenge in parallel computing?
a) Load balancing
b) Fault tolerance
c) Sequential execution
d) Scalability
Correct Answer: c) Sequential execution
