29 Questions
What type of hardware is GPU?
Specially designed for highly parallel applications like graphics
What is the challenge faced in GPU performance development?
Adopting parallel thinking
What does the text suggest about Moore's Law in relation to processor speed?
Serial performance scaling has reached its peak
What is mentioned as a requirement for fast processing in GPUs?
High bandwidth
Which market is driving development in GPU technology according to the text?
Graphics market
What is the primary focus of GPU chip design according to the text?
Devoting more transistors to data processing
How many CUDA cores does the GeForce 8800 GPU have?
512 CUDA cores
What is the purpose of Stream Multiprocessors in GPUs?
To group stream processors for efficient SIMD processing
How does the text define latency in the context of GPU performance?
Time to complete a task, also known as execution time
What is the core idea behind GPUs according to the text?
Designed for simpler tasks with high throughput
What are GPUs designed to prioritize according to the text?
Maximizing throughput of all threads
What is a key difference between GPUs and CPUs in terms of memory bandwidth?
GPUs typically have higher memory bandwidth compared to CPUs.
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.
What distinguishes GPUs from CPUs in terms of core count?
GPUs typically have thousands of cores, while CPUs have less than 100 cores.
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.
In terms of data-parallel computing, which hardware is more adept at it?
GPUs excel in data-parallel computing.
Which programming language is primarily used for GPU computing?
Compute Unified Device Architecture (CUDA)
What does GPGPU refer to?
Using GPUs for non-graphics applications
How is the GPU connected in Intel processors?
Directly to the North Bridge via PCI-Express link
What is CUDA?
A programming language for GPUs developed by NVIDIA
How can a program running on a GPU access its device memory?
By being specially written to run on a GPU
Where is the GPU's device memory connected in relation to the rest of the chip in Intel processors?
Directly to the GPU
What are the four coordinates that make up a pixel in the context provided?
(r, g, b, alpha)
What advantage does CUDA provide to programmers working with GPUs?
Allows writing C code for GPUs
How do GPUs differ from CPUs based on the text provided?
Graphics applications have more data parallelism than general-purpose applications
What do GPUs rely on to hide latency instead of using multi-level caches?
Having enough threads
Which statement is true regarding GPU main memory as per the text?
It is designed for high bandwidth rather than small latency
What is the primary function of a GPU according to the text?
Performing graphics operations
Why are GPUs considered to have extensive parallelism as per the text?
Each processor is highly parallel in a GPU
Test your knowledge on how memory needs to keep up with increasing processor speeds and the challenges in improving GPU performance. Explore topics like parallel execution, concurrency, and multithreading along with the impact of Moore's Law on serial performance scaling.
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