Simulation / Modeling / Design

PGI 17.7 Delivers OpenACC and CUDA Fortran for Volta GPUs

Sep 14, 2017

By Brad Nemire

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

Learn more >

Related resources

DLI course: Speed Up DataFrame Operations With RAPIDS cuDF
GTC session: Accelerate Science With NVIDIA HPC Compilers
GTC session: It’s Easier than You Think – Debugging and Optimizing CUDA with Intelligent Developer Tools
GTC session: AI Developer Tools for Accelerated Computing — Scarce Data Isn't Scary!
NGC Containers: OpenACC Training Materials
SDK: HPC SDK

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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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