Speeding up Programs with OpenACC in GCC
... using the compute power of GPUs and other accelerators
- Track: HPC, Big Data and Data Science devroom
- Room: UA2.118 (Henriot)
- Day: Sunday
- Start: 15:00
- End: 15:25
Proven in production use for decades, GCC (the GNU Compiler Collection) offers C, C++, Fortran, and other compilers for a multitude of target systems. Over the last few years, we -- formerly known as "CodeSourcery", now a group in "Mentor, a Siemens Business" -- added support for the directive-based OpenACC programming model. Requiring only few changes to your existing source code, OpenACC allows for easy parallelization and code offloading to accelerators such as GPUs. We will present a short introduction of GCC and OpenACC, implementation status, examples, and performance results.
"OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers interested in porting their codes to a wide-variety of heterogeneous HPC hardware platforms and architectures with significantly less programming effort than required with a low-level model."
Speakers
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Thomas Schwinge |