Model Configuration Parameters: GPU Code - MATLAB & Simulink (original) (raw)
The Code Generation > GPU Code category includes parameters for configuring GPU-specific settings of the generated code.
These parameters require a GPU Coder™ license.
On the Configuration Parameters dialog box, the following configuration parameters are on the Code Generation > GPU Code pane.
| Parameter | Description |
|---|---|
| GPU index | Specify the CUDA® device to target. |
| Compute capability | Specify the minimum compute capability for which CUDA code is generated. |
| Custom compute capability | Specify the name of the NVIDIA® virtual GPU architecture for code generation. |
| Memory mode | Specify the Memory allocation (malloc) mode to be used in the generated CUDA code. |
| Maximum blocks per kernel | Specify the maximum number of CUDA blocks created during a kernel launch. |
| Dynamic memory allocation threshold | Specify the size above which the private variables are allocated on the heap instead of the stack. |
| Memory Manager | Select the GPU memory manager for efficient memory allocation, management, and improving run-time performance. |
| Stack size per GPU thread | Specify the maximum stack limit per GPU thread. |
| Include error checks in generated code | Add run-time error-checking functionality to the generated CUDA code. |
| Kernel name prefix | Specify custom kernel name prefixes. |
| Additional compiler flags | Specify additional flags to the nvcc compiler. |
| cuBLAS | Replacement of math function calls with NVIDIAcuBLAS library calls. |
| cuSOLVER | Replacement of math function calls with NVIDIAcuSOLVER library calls. |
| cuFFT | Replacement of math function calls with NVIDIAcuFFT library calls. |