NVIDIA has released cuTile BASIC, bringing tile-based GPU programming, introduced in CUDA 13.1, to the BASIC programming language. This allows developers to accelerate legacy BASIC applications using modern GPU performance. cuTile BASIC simplifies parallel programming by automatically handling parallelism and data partitioning, requiring minimal syntax changes.
The article showcases examples like vector addition and matrix multiplication, demonstrating the ease of use. Running cuTile BASIC requires an NVIDIA GPU with compute capability 8.x or higher, along with specific driver and toolkit versions. It opens possibilities for running AI and scientific computing codebases in BASIC, leveraging the power of NVIDIA GPUs.
The article showcases examples like vector addition and matrix multiplication, demonstrating the ease of use. Running cuTile BASIC requires an NVIDIA GPU with compute capability 8.x or higher, along with specific driver and toolkit versions. It opens possibilities for running AI and scientific computing codebases in BASIC, leveraging the power of NVIDIA GPUs.
