rsnt_translations
56,437
edits
CUDA tutorial: Difference between revisions
Jump to navigation
Jump to search
no edit summary
(Marked this version for translation) |
No edit summary |
||
| Line 7: | Line 7: | ||
|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 | 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 | ||