High Performance Computing Lecture 3: CUDA Architecture

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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?

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

What is the characteristic of a block in CUDA architecture?

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

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

The program must be massively parallel. Signup and view all the answers

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

It improves the performance. Signup and view all the answers

What is the characteristic of a thread in CUDA architecture?

A thread is a part of a block. Signup and view all the answers

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

To synchronize the CPU and GPU Signup and view all the answers

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

Increase CPU utilization Signup and view all the answers

In CUDA, what is the role of a kernel?

A function that runs in parallel on the GPU Signup and view all the answers

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

Make variables accessible to both GPU and CPU Signup and view all the answers

How can you improve thread occupancy in a CUDA program?

By minimizing global memory access Signup and view all the answers

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

global Signup and view all the answers

What does CUDA enable users to do?

Execute programs on GPUs Signup and view all the answers

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

Single Program Multiple Data Signup and view all the answers

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

CPU is the host, GPU is the coprocessor Signup and view all the answers

What is a kernel in the context of CUDA programming?

A Single Program Multiple Data computation Signup and view all the answers

Which type of CUDA memory is the fastest?

Register memory Signup and view all the answers

What is the role of shared memory in CUDA?

Allows threads in a block to communicate Signup and view all the answers

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

It is an abstraction of the global memory Signup and view all the answers

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

C/C++ Signup and view all the answers

High Performance Computing Lecture 3: CUDA Architecture

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What is the primary characteristic of constant memory in CUDA?