High Performance Computing Lecture 3: CUDA Architecture
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Questions and Answers

What is the primary characteristic of constant memory in CUDA?

  • It is a fast and write-enabled memory.
  • It is a type of memory that is visible to all threads within the application.
  • It is a type of memory that stores constants and kernel arguments. (correct)
  • It is a cached on-chip read-only memory.

    • What is the main difference between texture memory and global memory?

  • Texture memory is faster, while global memory is slower.
  • Texture memory is cached, while global memory is not. (correct)
  • Global memory is cached, while texture memory is not.
  • Texture memory is write-enabled, while global memory is read-only.

    • What is a grid in CUDA architecture?

  • A part of a block that runs on individual cores of the multiprocessors.
  • A type of memory that stores constants and kernel arguments.
  • A group of threads that run the same kernel. (correct)
  • A logical unit containing a number of coordinating threads and a specific amount of shared memory.

    • What is the purpose of blockId and threadId in CUDA architecture?

    <p>To provide unique coordinates for threads in a grid.</p> Signup and view all the answers

    What is the characteristic of a block in CUDA architecture?

    <p>A block is a logical unit containing a number of coordinating threads and a specific amount of shared memory.</p> Signup and view all the answers

    What is the requirement for a MATLAB program to be accelerated with the GPUs?

    <p>The program must be massively parallel.</p> Signup and view all the answers

    What is the benefit of keeping all cores of the GPU busy in CUDA?

    <p>It improves the performance.</p> Signup and view all the answers

    What is the characteristic of a thread in CUDA architecture?

    <p>A thread is a part of a block.</p> Signup and view all the answers

    What is the main purpose of calling cudaDeviceSynchronize() in a CUDA program?

    <p>To synchronize the CPU and GPU</p> Signup and view all the answers

    Which of the following is NOT a common goal in GPU programming?

    <p>Increase CPU utilization</p> Signup and view all the answers

    In CUDA, what is the role of a kernel?

    <p>A function that runs in parallel on the GPU</p> Signup and view all the answers

    What is one of the steps for converting conventional C++ code to CUDA?

    <p>Make variables accessible to both GPU and CPU</p> Signup and view all the answers

    How can you improve thread occupancy in a CUDA program?

    <p>By minimizing global memory access</p> Signup and view all the answers

    Which directive is used to define a parallel function that runs on the GPU?

    <p><strong>global</strong></p> Signup and view all the answers

    What does CUDA enable users to do?

    <p>Execute programs on GPUs</p> Signup and view all the answers

    What is the SIMT programming model referred to in the context of CUDA?

    <p>Single Program Multiple Data</p> Signup and view all the answers

    How is the CUDA program divided between the CPU and GPU?

    <p>CPU is the host, GPU is the coprocessor</p> Signup and view all the answers

    What is a kernel in the context of CUDA programming?

    <p>A Single Program Multiple Data computation</p> Signup and view all the answers

    Which type of CUDA memory is the fastest?

    <p>Register memory</p> Signup and view all the answers

    What is the role of shared memory in CUDA?

    <p>Allows threads in a block to communicate</p> Signup and view all the answers

    What happens to local memory when it cannot fit the data into registers?

    <p>It is an abstraction of the global memory</p> Signup and view all the answers

    Which programming languages are extended by NVIDIA CUDA for general-purpose computations?

    <p>C/C++</p> Signup and view all the answers

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