PGI and NVIDIA Team To Deliver CUDA Fortran Compiler

The NVIDIA CUDA architecture allows developers to offload computationally intensive kernels to the massively parallel GPU. Through function calls and language extensions, CUDA gives developers explicit control over the mapping of general-purpose computational kernels to GPUs as well as placement and movement of data between the x64 processor and the GPU. The NVIDIA CUDA C compiler already provides this capability to C programmers. The CUDA Fortran compiler will provide this same level of control and optimization in a native Fortran environment from PGI.

“Fortran support for CUDA GPUs is a perfect complement to our existing roadmap for the PGI Accelerator Fortran and C compilers,” said Douglas Miles, director, The Portland Group. “It enables interoperability of PGI Fortran and CUDA C and gives PGI users a full range of options in porting and optimizing Fortran applications to leverage the power of CUDA-enabled NVIDIA GPUs.”

“The GPU computing developer community has made it clear there is a need and demand for a production-quality Fortran solution on the GPU,” said Andy Keane, general manager, Tesla GPU Computing Solutions, NVIDIA. “With their large base of Fortran developers for x64 processor-based HPC systems, PGI provides a perfect bridge for migration of production science and engineering codes from existing platforms to NVIDIA Tesla GPUs.”