CUDA's Programming Model: Threads, Blocks, and Grids
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Questions and Answers

What is the term used in CUDA to refer to a function that is run by all the threads in a grid?

  • Executor
  • Kernel (correct)
  • Dispatcher
  • Concurrent
  • In CUDA, threads are organized in blocks, and blocks are organized in what structure?

  • Structures
  • Grids (correct)
  • Arrays
  • Matrices
  • What determines the sizes of the blocks and grids in CUDA programming?

  • Thread hierarchy
  • Scheduler overhead
  • Execution configuration
  • Device capabilities (correct)
  • What type of vector does the CUDA-supplied dim3 represent?

    <p>Integer vector of three elements</p> Signup and view all the answers

    How can a 1D grid made up of five blocks, each with 16 threads be invoked in CUDA programming?

    <p>foo();</p> Signup and view all the answers

    Which aspect of a program must be decomposed into a large number of threads to properly utilize a GPU?

    <p>The program itself</p> Signup and view all the answers

    What is the primary reason for a programmer to understand how threads and warps are executed on a GPU?

    <p>To optimize performance by minimizing thread divergence</p> Signup and view all the answers

    What happens when threads within a warp diverge due to a conditional operation?

    <p>The divergent paths are evaluated sequentially</p> Signup and view all the answers

    Which statement best describes the relationship between GPU memory and host memory?

    <p>GPU memory and host memory are completely separate</p> Signup and view all the answers

    In the context of CUDA programming, what is the significance of operation atomicity?

    <p>It maintains data consistency when multiple threads modify shared memory</p> Signup and view all the answers

    What is the primary reason why a programmer cannot directly pass a pointer to an array in the host's memory to a CUDA kernel?

    <p>GPU memory and host memory are separate and disjoint</p> Signup and view all the answers

    What percentage of multiprocessors would be idle during the execution of the last warp of each block, according to the text?

    <p>87.5%</p> Signup and view all the answers

    What type of memory allocation is needed when shared memory requirements can only be calculated at run-time?

    <p>Dynamic allocation</p> Signup and view all the answers

    What is the purpose of the third parameter in the execution configuration's alternative syntax?

    <p>To specify the size of shared memory to be reserved</p> Signup and view all the answers

    In the given example of calculating a histogram for a grayscale image, what is the maximum number of categories (bins) allowed?

    <p>256</p> Signup and view all the answers

    What is the key difference between the CUDA solution and the multithreaded solution for the histogram calculation problem?

    <p>The CUDA solution uses implicit data partitioning and coalesced memory accesses</p> Signup and view all the answers

    What is the purpose of using a stride in the CUDA solution for the histogram calculation problem?

    <p>To coalesce memory accesses and cover all data</p> Signup and view all the answers

    Which of the following best describes the concept of coalesced memory accesses in the context of CUDA programming?

    <p>Threads accessing contiguous memory locations simultaneously</p> Signup and view all the answers

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