Simulation / Modeling / Design

PGI 17.7 Delivers OpenACC and CUDA Fortran for Volta GPUs

Sep 14, 2017
By Brad Nemire
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AI-Generated Summary
  • PGI 17.7 compilers add support for the Tesla V100 GPU to extend high-performance computing capabilities.
  • The release introduces OpenACC for CUDA Unified Memory and OpenMP 4.5 for multicore CPUs to improve programming flexibility.
  • C++14 lambdas with capture in OpenACC regions and OpenACC PGI Unified Binary for multicore and Tesla further enhance performance portability.

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PGI compilers & tools are used by scientists and engineers who develop applications for high-performance computing (HPC) systems. They deliver world-class multicore CPU performance, an easy on-ramp to GPU computing with OpenACC directives, and performance portability across all major HPC platforms. 17.7 is available now for users with current PGI Professional support.

Performance measured August, 2017 using PGI 17.7 compilers and are considered estimates per SPEC run and reporting rules. SPEC® and SPEC ACCEL® are registered trademarks of the Standard Performance Evaluation Corporation (www.spec.org).

New Features in PGI 17.7

  • Tesla V100 GPU support
  • OpenACC for CUDA Unified Memory
  • OpenMP 4.5 for multicore CPUs
  • C++14 lambdas with capture in OpenACC regions
  • OpenACC PGI Unified Binary for Multicore and Tesla
  • C++ performance optimizations
  • OpenACC Fortran deep copy

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Simulation / Modeling / Design | CUDA | OpenACC | News | Supercomputing

About the Authors

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About Brad Nemire
Brad Nemire leads the Developer Communications team at NVIDIA. Prior to NVIDIA, he worked at Arm on the Developer Relations team. Brad graduated from San Diego State University and currently resides in Silicon Valley.

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