Parallel Computing COMS3008A
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Questions and Answers

What is the main characteristic of NUMA systems?

  • Each processor has its own cache, but no protocol for coherence
  • Processors do not have cache and rely on main memory
  • Memory is uniformly addressable from all processors, but access times vary (correct)
  • Memory is not shared among processors
  • What is the primary difference between SMP and NUMA architectures?

  • NUMA has cache coherence protocol, SMP does not
  • SMP has distributed memory, NUMA has shared memory
  • SMP has uniform access time, NUMA does not (correct)
  • SMP has shared memory, NUMA does not
  • In a cluster, what is the primary means of communication between processes?

  • Distributed memory
  • Cache coherence protocol
  • Message passing (correct)
  • Shared memory
  • What is the term for a computation consisting of setup, computation, and finalization sections?

    <p>Simple performance model</p> Signup and view all the answers

    What is the formula for the total running time of a program on one processing element?

    <p>Ttotal = Tsetup + Tcompute + Tfinalization</p> Signup and view all the answers

    What is the primary advantage of ccNUMA systems?

    <p>Improved performance due to cache coherence</p> Signup and view all the answers

    What is the primary characteristic of distributed memory systems?

    <p>Each process has its own address space</p> Signup and view all the answers

    What is the term for a group of off-the-shelf computers connected by a network?

    <p>Cluster</p> Signup and view all the answers

    What is the main motivation behind parallel computing?

    <p>To increase the speed of computation</p> Signup and view all the answers

    What is the primary classification of parallel computers based on?

    <p>Instruction stream and data stream</p> Signup and view all the answers

    What type of computer architecture is characterized by a single instruction stream operating on a single data stream?

    <p>SISD</p> Signup and view all the answers

    What type of classification is mentioned in the context of parallel computers?

    <p>Control Structure Based Classification</p> Signup and view all the answers

    What is the primary advantage of SIMD computers?

    <p>Operations on arrays</p> Signup and view all the answers

    What is the primary means of announcing course-related communications?

    <p>Announcements via ulwazi course site</p> Signup and view all the answers

    Which type of computer architecture is characterized by multiple processors operating on multiple data items, each executing independent instructions?

    <p>MIMD</p> Signup and view all the answers

    What is the primary objective of understanding parallel computers and parallel computing?

    <p>To understand the basics of parallel computers and parallel computing</p> Signup and view all the answers

    What is the mode of operation in which the programmer starts up the same executable on the parallel processors?

    <p>Single program multiple data (SPMD)</p> Signup and view all the answers

    What is the focus of the quantitative look at parallel computation?

    <p>Applying simple quantitative modeling for parallel program performance</p> Signup and view all the answers

    What is the primary characteristic of shared memory systems?

    <p>Single address space</p> Signup and view all the answers

    What is the relevance of the course outline in the context of the course?

    <p>It outlines the course administration</p> Signup and view all the answers

    Which type of computer architecture is characterized by multiple instruction streams operating on a single data stream?

    <p>MISD</p> Signup and view all the answers

    What is the importance of regularly checking announcements on the ulwazi course site?

    <p>To stay informed about course-related matters</p> Signup and view all the answers

    What is the primary focus of the course COMS3008A?

    <p>Parallel Computing</p> Signup and view all the answers

    What is the primary purpose of Flynn's taxonomy?

    <p>To classify parallel computers</p> Signup and view all the answers

    Study Notes

    Course Overview

    • COMS3008A: Parallel Computing course by Hairong Bau
    • Objectives:
      • Understand basics of parallel computers and computing
      • Understand motivation of parallel computing
      • Learn classification of parallel computers
      • Apply simple quantitative modeling for parallel program performance

    Parallel Computing

    • Parallel Computing: What is it?
      • One class of shared-memory systems: Symmetric Multiprocessors (SMPs)
      • Another class of shared-memory systems: Non-Uniform Memory Access (NUMA)
    • Why parallelism?
      • To increase processing power and speed
    • Supercomputers

    Classification of Parallel Computers

    • Flynn's taxonomy (1966) used for classification

    • Classification based on two independent dimensions:

      • Instruction stream (Single/Multiple)
      • Data stream (Single/Multiple)
    • Four types of parallel computers:

      SISD (Single Instruction Stream Single Data Stream)

      • Traditional CPU architecture
      • Single instruction executed on single data item at a time

      SIMD (Single Instruction Stream Multiple Data Stream)

      • Multiple processors operating on different data items
      • Excellent for array operations (e.g., for (i = 0; i &lt; N; i++) a[i] = b[i] + c[i];)

      MISD (Multiple Instruction Stream Single Data Stream)

      • Each processing unit executes different instruction streams on single data stream
      • Rarely used

      MIMD (Multiple Instruction Stream Multiple Data Stream)

      • Multiple processors operating on multiple data items
      • Most current parallel computers are of this type
      • Can operate in Single Program Multiple Data (SPMD) mode
      • Further decomposed into:
        • Shared memory systems (all processes share single address space)
        • Distributed memory systems (each process has own address space, communicates via message passing)

    Performance Modeling

    • Simple performance modeling for parallel computing
    • Computation consisting of three parts: setup, computation, and finalization
    • Total running time on one processing element (PE): Ttotal (1) = Tsetup + Tcompute + Tfinalization
    • Parallel computer with multiple PEs: ?

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    Description

    Explore the fundamentals of parallel computing, including its objectives, classification, and quantitative aspects. This course covers the basics of parallel computers, control structures, and more.

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