Memory Needs to Catch Up - GPU Performance Quiz

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What type of hardware is GPU?

Designed for serial processing applications

Specially designed for highly parallel applications like graphics (correct)

Designed for single-threaded applications

Designed for memory-intensive applications

What is the challenge faced in GPU performance development?

Memory catching up with processor speed

Adopting parallel thinking (correct)

Increasing processor speed

Serial performance scaling reaching its peak

What does the text suggest about Moore's Law in relation to processor speed?

Processors are increasing in frequency and width at the same rate

Moore's Law no longer holds true

Processors are getting faster and faster

Serial performance scaling has reached its peak (correct)

What is mentioned as a requirement for fast processing in GPUs?

High bandwidth Signup and view all the answers

Which market is driving development in GPU technology according to the text?

Graphics market Signup and view all the answers

What is the primary focus of GPU chip design according to the text?

Devoting more transistors to data processing Signup and view all the answers

How many CUDA cores does the GeForce 8800 GPU have?

512 CUDA cores Signup and view all the answers

What is the purpose of Stream Multiprocessors in GPUs?

To group stream processors for efficient SIMD processing Signup and view all the answers

How does the text define latency in the context of GPU performance?

Time to complete a task, also known as execution time Signup and view all the answers

What is the core idea behind GPUs according to the text?

Designed for simpler tasks with high throughput Signup and view all the answers

What are GPUs designed to prioritize according to the text?

Maximizing throughput of all threads Signup and view all the answers

What is a key difference between GPUs and CPUs in terms of memory bandwidth?

GPUs typically have higher memory bandwidth compared to CPUs. Signup and view all the answers

Which statement accurately describes the view of a programmer when using a GPU for computation?

Computation is offloaded to the GPU due to faster processing compared to the CPU. Signup and view all the answers

What distinguishes GPUs from CPUs in terms of core count?

GPUs typically have thousands of cores, while CPUs have less than 100 cores. Signup and view all the answers

Why do GPUs struggle with executing recursive code compared to CPUs?

GPUs have difficulty with recursive code due to their architecture that favors data-parallel computing. Signup and view all the answers

In terms of data-parallel computing, which hardware is more adept at it?

GPUs excel in data-parallel computing. Signup and view all the answers

Which programming language is primarily used for GPU computing?

Compute Unified Device Architecture (CUDA) Signup and view all the answers

What does GPGPU refer to?

Using GPUs for non-graphics applications Signup and view all the answers

How is the GPU connected in Intel processors?

Directly to the North Bridge via PCI-Express link Signup and view all the answers

What is CUDA?

A programming language for GPUs developed by NVIDIA Signup and view all the answers

How can a program running on a GPU access its device memory?

By being specially written to run on a GPU Signup and view all the answers

Where is the GPU's device memory connected in relation to the rest of the chip in Intel processors?

Directly to the GPU Signup and view all the answers

What are the four coordinates that make up a pixel in the context provided?

(r, g, b, alpha) Signup and view all the answers

What advantage does CUDA provide to programmers working with GPUs?

Allows writing C code for GPUs Signup and view all the answers

How do GPUs differ from CPUs based on the text provided?

Graphics applications have more data parallelism than general-purpose applications Signup and view all the answers

What do GPUs rely on to hide latency instead of using multi-level caches?

Having enough threads Signup and view all the answers

Which statement is true regarding GPU main memory as per the text?

It is designed for high bandwidth rather than small latency Signup and view all the answers

What is the primary function of a GPU according to the text?

Performing graphics operations Signup and view all the answers

Why are GPUs considered to have extensive parallelism as per the text?

Each processor is highly parallel in a GPU Signup and view all the answers