CUDA tutorial/en: Difference between revisions

Jump to navigation Jump to search
Updating to match new version of source page
(Updating to match new version of source page)
(Updating to match new version of source page)
Line 6: Line 6:
|title=Prerequisites
|title=Prerequisites
|content=
|content=
This tutorial uses CUDA to accelerate C or C++ code; a working knowledge of one of these languages is therefore required to gain the most benefit. Even though Fortran is also supported by CUDA, for the purpose of this tutorial we only cover CUDA C/C++. From here on, we use term CUDA C to refer "CUDA C and C++". CUDA C is essentially a C/C++ that allows one to execute functions on both GPUs and CPUs.
This tutorial uses CUDA to accelerate C or C++ code: a working knowledge of one of these languages is therefore required to gain the most benefit. Even though Fortran is also supported by CUDA, for the purpose of this tutorial we only cover CUDA C/C++. From here on, we use term '''CUDA C''' to refer to CUDA C/C++. CUDA C is essentially a C/C++ that allows one to execute functions on both GPUs and CPUs.
}}
}}
{{Objectives
{{Objectives
38,760

edits

Navigation menu