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Kernel Creation from MATLAB Code

MATLAB code structures and patterns that create CUDA® GPU kernels

GPU Coder™ generates and executes optimized CUDA kernels for specific algorithm structures and patterns in your MATLAB® code. The generated code calls optimized NVIDIA® CUDA libraries, including cuFFT, cuSolver, cuBLAS, cuDNN, and TensorRT. The generated code can be integrated into your project as source code, static libraries, or dynamic libraries, and can be compiled for desktops, servers, and GPUs embedded on NVIDIA Jetson, DRIVE, and other platforms. GPU Coder lets you incorporate handwritten CUDA code into your algorithms and into the generated code.

Apps

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GPU CoderGenerate GPU code from MATLAB code
GPU Environment CheckVerify and set up GPU code generation environment (Since R2019a)

Functions

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codegenGenerate C/C++ code from MATLAB code
gpucoderOpen GPU Coder app
coder.checkGpuInstallVerify GPU code generation environment
coder.gpuConfigConfiguration parameters for CUDA code generation from MATLAB code by using GPU Coder
coder.gpu.kernelPragma that maps for-loops to GPU kernels
coder.gpu.kernelfunPragma that maps function to GPU kernels
coder.gpu.nokernelPragma to disable kernel creation for loops (Since R2019a)
coder.cevalCall external C/C++ function
coder.gpu.iterationsPragma that provides information to the code generator for making parallelization decisions on variable bound loops (Since R2019a)
coder.gpu.constantMemoryPragma that maps a variable to the constant memory on GPU
coder.gpu.persistentMemoryPragma to allocate a variable as persistent memory on the GPU (Since R2020b)
gpucoder.atomicAddAtomically add a specified value to a variable in global or shared memory (Since R2021b)
gpucoder.atomicAndAtomically perform bit-wise AND between a specified value and a variable in global or shared memory (Since R2021b)
gpucoder.atomicCASAtomically compare and swap the value of a variable in global or shared memory (Since R2021b)
gpucoder.atomicDecAtomically decrement a variable in global or shared memory within a specified upper bound (Since R2021b)
gpucoder.atomicExchAtomically exchange a variable in global or shared memory with the specified value (Since R2021b)
gpucoder.atomicIncAtomically increment a variable in global or shared memory within a specified upper bound (Since R2021b)
gpucoder.atomicMaxAtomically find the maximum between a specified value and a variable in global or shared memory (Since R2021b)
gpucoder.atomicMinAtomically find the minimum between a specified value and a variable in global or shared memory (Since R2021b)
gpucoder.atomicOrAtomically perform bit-wise OR between a specified value and a variable in global or shared memory (Since R2021b)
gpucoder.atomicSubAtomically subtract a specified value from a variable in global or shared memory (Since R2021b)
gpucoder.atomicXorAtomically perform bit-wise XOR between a specified value and a variable in global or shared memory (Since R2021b)
halfConstruct half-precision numeric object
stencilfunGenerate CUDA code for stencil functions (Since R2022b)
gpucoder.matrixMatrixKernelOptimized GPU implementation of functions containing matrix-matrix operations
gpucoder.batchedMatrixMultiplyOptimized GPU implementation of batched matrix multiply operation (Since R2020a)
gpucoder.stridedMatrixMultiplyOptimized GPU implementation of strided and batched matrix multiply operation (Since R2020a)
gpucoder.batchedMatrixMultiplyAddOptimized GPU implementation of batched matrix multiply with add operation (Since R2020a)
gpucoder.stridedMatrixMultiplyAddOptimized GPU implementation of strided, batched matrix multiply with add operation (Since R2020a)
gpucoder.sortOptimized GPU implementation of the MATLAB sort function
gpucoder.ctransposeOptimized GPU implementation of the MATLAB transpose function (Since R2019a)
gpucoder.transposeOptimized GPU implementation of the MATLAB transpose function (Since R2019a)
gpucoder.reduceOptimized GPU implementation for reduction operations (Since R2019b)

Objects

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coder.gpuConfigConfiguration parameters for CUDA code generation from MATLAB code by using GPU Coder
coder.CodeConfigConfiguration parameters for C/C++ code generation from MATLAB code
coder.EmbeddedCodeConfigConfiguration parameters for C/C++ code generation from MATLAB code with Embedded Coder
coder.gpuEnvConfigCreate configuration object containing the parameters passed to coder.checkGpuInstall for performing GPU code generation environment checks (Since R2019a)

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