March 14, 2013
SANTA CLARA, Calif., March 14 — The OpenACC Architecture Review Board today announced 23 OpenACC related sessions and tutorials that will be held during the GPU Technology Conference (GTC) at the San Jose Convention Center, March 18-21.
OpenACC provides a quicker, easier and more portable path to detailed results for programmers using accelerators across a wide range of disciplines.
Highlights of OpenACC sessions taking place at GTC 2013 include:
More information about OpenACC sessions can be found at http://www.openacc.org/events/calendar as well as further details on partners and membership related information. The complete GTC event information can be found at http://www.gputechconf.com/page/home.html.
"The extensive collection of OpenACC sessions at GTC reflects the dramatic growth in the number of programmers who are adopting the standard," said Duncan Poole, president of the OpenACC Standards Group. "The sessions will provide OpenACC programming tips and best practices from industry experts and will give attendees a unique opportunity to network with individuals from a range of fields that are experiencing the tremendous impact of accelerated computing in their work."
The updated OpenACC version 2.0 specification will be available for public comment on Fri., March 15 at http://www.openacc.org/sites/default/files/OpenACC-2.0-draft.pdf. This version adds several important new features to the specification, including support for procedure calls and separate compilation, nested parallelism and multiple device types.
OpenACC is a programming standard for parallel computing using directives, designed to enable researchers, scientists and engineers around the world to easily take advantage of the transformative power of computing systems equipped with heterogeneous CPU/Accelerator systems. OpenACC provides the easiest way for scientists, with or without extensive parallel programming expertise, to accelerate their research in a matter of hours using familiar programming models.
The OpenACC Application Program Interface describes a collection of compiler directives to specify loops and regions of code in standard C and Fortran to be offloaded from a host CPU to an attached accelerator, providing portability across operating systems, host CPUs and accelerators. OpenACC allows programmers to provide simple hints (directives) to the compiler, identifying which areas of code to accelerate. By exposing parallelism to the compiler, directives allow the compiler to do the detailed work of mapping the computation onto the accelerator. OpenACC enables users to create a single code base that runs on heterogeneous many-core accelerators as well as multi-core systems, making scaling application performance easier and more portable than ever. It also offers an ideal way to preserve investment in legacy applications.
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