PGI has a long history of innovation in HPC. The following list summarizes a number of key PGI technologies in use today.

PGI Accelerator™ compilers allow programmers to accelerate applications on CPU+accelerator platforms by adding OpenACC compiler directives to existing high-level standard-compliant Fortran, C and C++ programs and then recompiling with appropriate compiler options.

Common Compiler Feedback Format (CCFF) is PGI's open specification that defines the format for storing the wealth of information about what the compiler did and could not do to optimize the code during compilation. Using CCFF, HPC tools providers can enhance their products to offer more and better information about optimizing performance.

CUDA Fortran is a Fortran analog to NVIDIA CUDA C. CUDA Fortran includes a Fortran 2003 compiler and tool chain for programming NVIDIA GPUs using Fortran. CUDA Fortran is supported on Linux, macOS and Windows.

Program Analysis Summary Output (PASO) During compiling, PGI compilers have the ability to gather a detailed cross-file summary of a program’s internal structure, including function call sites, variable declarations, reads, or modifications, OpenACC and OpenMP regions, and more.

PGI Compiler Assisted Software Testing (PCAST) is an easy way to check code for correctness. PCAST compares computed results with known correct values and reports an error if the data does not match within some user-specified tolerance. This can be useful for pinpointing computational divergences across different processor architectures and accelerators.

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