Systems architecture concept check:\nAssess the statement below and choose the best evaluation.\n\n"Symmetric multiprocessing (SMP) architectures are useful when data must remain in main memory during processing to meet the required performance level."

Difficulty: Easy

Correct Answer: Applies (the statement is correct)

Explanation:


Introduction / Context:
This item tests understanding of symmetric multiprocessing (SMP) architectures and when they are advantageous. SMP machines provide multiple general-purpose CPUs (or cores) sharing a single, coherent physical memory and a single operating system image. They are common in database servers, application servers, and in-memory analytics engines where fast, shared-memory access is essential to performance.


Given Data / Assumptions:

  • SMP means multiple processors sharing the same address space (shared memory).
  • The workload requires data to reside in RAM to achieve latency or throughput targets.
  • Threads coordinate through shared memory and synchronization primitives.


Concept / Approach:
In-memory processing eliminates disk I/O bottlenecks and relies on rapid memory access plus CPU parallelism. SMP excels here because all processors can directly read and write the same memory without explicit message passing. Threaded programs (for example, buffer pool management, hash joins, in-memory caches, and key-value stores) benefit from uniform, low-latency access to data structures allocated in the shared heap.


Step-by-Step Solution:

Identify the requirement: keep data resident in RAM during computation.Match to architecture: SMP provides shared RAM across CPUs with hardware cache coherence.Consider workload: multi-threaded operators over the same data structures profit from shared-memory parallelism.Conclude: SMP is a good fit; the statement applies.


Verification / Alternative check:
Compare with distributed-memory MPP clusters where memory is not shared; programmers must partition data and exchange it via network shuffles. For tightly shared state and fine-grained synchronization, SMP typically yields lower overhead than message passing.


Why Other Options Are Wrong:

  • Does not apply: contradicts shared-memory advantages for in-RAM workloads.
  • Applies only to distributed-memory MPP: MPP is the opposite model (no shared memory).
  • Only when data are on disk: the premise is in-memory; SMP is specifically helpful there.
  • Only single processor: SMP, by definition, is multi-processor.


Common Pitfalls:
Confusing SMP with MPP; assuming NUMA penalties negate benefits (NUMA requires awareness but still provides shared memory); ignoring contention, which must be mitigated using proper locking or lock-free designs.


Final Answer:
Applies (the statement is correct)

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