Explore how to use Numba—the just-in-time, type-specializing Python function compiler—to create and launch CUDA kernels to accelerate Python programs on massively parallel NVIDIA GPUs. PREREQUISITES: Basic Python competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations. Also, must have NumPy competency, including the use of ndarrays and ufuncs
Fundamentals of Accelerated Computing with CUDA Python (FAC-CUDA PYTHON)
Schedule
- DL
Digital Learning
eLearning solutions you can access anytime and anywhere at your own pace.
- DL
- DLDigital Learning
Digital Learning
eLearning solutions you can access anytime and anywhere at your own pace.