Host codes in a CUDA application can not Deallocate memory on the GPU

Related MCQs

• Host codes in a CUDA application can Allocate GPU memory
• In CUDA memory model there are following memory types available: a) Registers; b) Local Memory; c) Shared Memory; d) Global Memory; e) Constant Memory; f) Texture Memory.
• The NVIDIA G80 is a ---- CUDA core device, the NVIDIA G200 is a ---- CUDA core device, and the NVIDIA Fermi is a ---- CUDA core device.
• Host codes in a CUDA application can not Invoke kernels
• Host codes in a CUDA application can not Reset a device
• The host processor spawns multithread tasks (or kernels as they are known in CUDA) onto the GPU device. State true or false.
• Host codes in a CUDA application can Initialize a device
• Host codes in a CUDA application can Transfer data to and from the device
• If variable a is host variable and dev_a is a device (GPU) variable, to allocate memory to dev_a select correct statement:
• If variable a is host variable and dev_a is a device (GPU) variable, to copy input from variable a to variable dev_a select correct statement: