Understanding SMP and MPP Architectures

Which of the following describes Symmetric Multiprocessing (SMP)?

• A type of processing where multiple processors share a common memory and are managed by a single operating system.

• A parallel processing system where memory access times vary depending on the processor's location.

• A cluster of computers working together on a single task.

• A processing architecture that uses only one core to perform tasks in sequence.

In which of the following systems is memory access faster or slower for certain processors depending on their location?

• Symmetric Multiprocessing (SMP)

• Non-Uniform Memory Access (NUMA)

• Pipelined Computing Systems (PCS)

• Multithreading

What does symmetric mean in terms of SMP?

• Sharing similar resources

• Having the same amount of cores

• Using the same screen

• Connecting to the main system through ethernet

This is a picture of:

• NUMA

• UMA

• CPU

• SMP

What does multiprocessing mean in terms of SMP?

• Processing tasks concurrently

• Processing from multiple storage devices

• Processing using clusters

• Processing multiple tasks

In SMP, all processors have ______ access to a memory location.

• Non-uniform

• Double clock speed

• Limited

• Uniform

What does NUMA stand for (type it in lowercase and only type letters (do not include - or /)?

What does 'non-uniform' mean in the context of NUMA (Non-Uniform Memory Access)?

• The memory can wear whatever it wants

• Time required for accessing memory will not be uniform

• The time zones of the memory clusters are not uniform

• Memory is located in different regions

What are the two types of memory a NUMA processor has (which is specific to NUMA systems - not just types of memory in general)?

• Cache memory and virtual memory

• Local memory and remote memory

• Primary memory and secondary memory

• RAM and ROM

Which of the following best describes the advantage of using a multicore processor?

• It allows multiple tasks to be executed in parallel by distributing them across multiple cores.

• It improves single-threaded application performance by increasing the clock speed.

• It enhances the memory capacity of the system.

• It reduces the need for cache memory by processing tasks sequentially.