GPU Programming in Microprocessor Based Design

Play an AI-generated podcast conversation about this lesson

What is the main purpose of CUDA programming?

To restrict programming flexibility

To accelerate applications using only the CPU

To limit the use of GPU computing

To enable parallel computing on GPU and CPU (correct)

Which programming languages are commonly used for GPU programming?

C++ and Python (correct)

C# and Swift

HTML and CSS

Java and Ruby

What does CUDA stand for?

Central Unified Design Architecture

Central Unified Device Architecture

Computer Unified Design Architecture

Computer Unified Device Architecture (correct)

How many fundamental issues are mentioned in programming a GPU?

Two Signup and view all the answers

What distinguishes CUDA-enabled GPUs from other GPUs?

They offer explicit GPU memory management and a compute-designed API Signup and view all the answers

What is the primary benefit of using OpenACC directives in GPU programming?

Increased portability across different platforms Signup and view all the answers

What is the primary purpose of CUDA in extending C?

Adding constants, types, and functions that expose GPU capabilities Signup and view all the answers

Which key abstractions primarily define the capabilities of a GPU in CUDA?

Hierarchy of thread groups, shared memories, and barrier synchronization Signup and view all the answers

When writing programs for optimal performance in CUDA, what is important to understand?

Underlying execution model and memory model Signup and view all the answers

Where does the host code run in a CUDA program?

Host CPU and host memory Signup and view all the answers

In CUDA, what is the sequence of executions represented by a thread?

A sequence of executions Signup and view all the answers

What allows multiple hosts to share the GPU in the Kepler model?

Kepler architecture Signup and view all the answers

What is the main purpose of using 'nvprof --metrics gld_efficiency,gst_efficiency' in CUDA?

To view global load/store efficiency metrics. Signup and view all the answers

According to the discussion on CUDA, what is one way to optimize performance on the GPU?

Maintain a balanced load across all threads. Signup and view all the answers

What does Amdahl's law help in estimating?

The sequential portion of an algorithm. Signup and view all the answers

In Amdahl's law formula (S / P) = 1 / (1 - P) + S, what do 'S' and 'P' represent?

'S' represents the parallel portion and 'P' represents the sequential portion of the algorithm. Signup and view all the answers

What happens if data access conflicts occur in a GPU application, according to the CUDA discussion?

The application may give incorrect results or become serialized. Signup and view all the answers

How can one ensure data parallelism in CUDA, based on the provided content?

Arrange the algorithm so it is data parallel friendly and look for regularity/consistency. Signup and view all the answers

GPU Programming in Microprocessor Based Design - Part 3

Choose a study mode

Podcast

Questions and Answers