TRUE OR FALSE T F 1. GPUs can be found in almost all of today’s workstations, laptops, tablets, and smartphones.
T F 2. The largest GPUs are found in embedded systems.
T F 3. For about $200 you can purchase a GPU with 960 parallel processor cores for a workstation.
T F 4. GPGPU is a computing platform and programming model created by NVIDIA.
T F 5. CUDA C is a C/C++ based language.
T F 6. A kernel typically will have few to no branching statements.
T F 7. The total number of threads defined is typically in the thousands to maximize the utilization of the GPU processor cores as well as maximize the available speedup.
T F 8. The equivalent GPU hardware component for a block is the CUDA multiprocessor (SM).
T F 9. The grid and the block need to have the same dimensions.
T F 10. All but one set of GPU processor cores will be idle, while one SM is bearing the full processing load.
T F 11. Because the GPU and the CPU are designed and optimized for two significantly different types of applications, their architectures differ significantly.
T F 12. The GPU is most efficient when it is processing as many warps as possible to keep the CUDA cores maximally utilized.
T F 13. The Fermi architecture upgraded from the IEEE 754-1985 floating-point arithmetic standard to the IEEE 754-2008 standard.
T F 14. It is not important for the programmer to understand the nuances of the various GPU memories.
T F 15. A SoC product architect can create product families or a specific product within a family by placing a single slice or multiple slices on a SoC chip.
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