PGI 2014 Brings New Level of Performance, Programming Simplicity to High Performance Computing New Release Adds OpenACC 2.0 Features for NVIDIA and AMD GPU Accelerators, Delivers Multi-core x64 Performance Gains SANTA CLARA, CA -- (Marketwired) -- 02/14/14 -- PGI, a leading suite of high-performance parallelizing compilers and development tools, now features support for the latest version of the OpenACC programming standard on accelerator platforms. Available today, PGI(R) 2014 Compilers and Tools includes new capabilities for programming the recently announced NVIDIA(R) Tesla(R) K40 GPU accelerators using version 2.0 features of the OpenACC directives-based parallel programming specification. It also provides, for the first time, OpenACC support for AMD Radeon GPUs and APUs. "We applaud PGI's ability to extract performance from AMD discrete GPUs and APUs using OpenACC," said Suresh Gopalakrishnan, corporate vice president and general manager of the Server business at AMD. "It will help break down the remaining barriers to wide-scale accelerator adoption, and decouple the choice of accelerator programming model from the choice of accelerator hardware." Key features of PGI 2014 Compilers and Tools include: -- OpenACC 2.0 Features - PGI Accelerator native Fortran 2003, C99 and C++ compilers expand support for key OpenACC 2.0 features, including routine directive (procedure calls in accelerator regions), unstructured data lifetimes and others. -- New NVIDIA(R) CUDA(R) Fortran Extensions - Add support for version 5.5 of the NVIDIA CUDA parallel programming platform, CUDA atomic functions and device-side debugging using Allinea DTT and TotalView from Rogue Wave. -- Free PGI for OS X - Fortran 2003 and C99 compilers with all PGI multi-core x64 optimizations, command-line debugging and streamlined online documentation (available in February). PGI 2014 compilers deliver an average of 75 percent faster performance on the latest SPEC(R) OMP2012 benchmark suite, compared to GCC using the latest AVX-enabled multi-core Intel and AMD x64 processors. Additional capabilities of PGI 2014 Compilers and Tools include full Fortran 2003 support, incremental Fortran 2008 features, updated libraries, support for the latest operating systems and a comprehensive suite of new and updated code examples and tutorials. For a complete list of the features and capabilities of PGI 2014 Compilers and Tools, visit http://www.pgroup.com/support/new_rel.htm. "The use of accelerators in high performance computing is now mainstream," said Douglas Miles, director of PGI Software at NVIDIA. "With PGI 2014, we are taking another big step toward our goal of providing platform-independent, multi-core and accelerator programming tools that deliver outstanding performance on multiple platforms without the need for extensive, device-specific tuning." PGI 2014 is available today directly from NVIDIA and authorized resellers. A free 30-day trial of PGI 2014 is available for new users at www.pgroup.com. Registration is required. About PGI Software An NVIDIA Corporation brand, PGI Software includes high-performance parallel Fortran, C and C++ compilers and tools for workstations, servers and clusters based on x64 processors from Intel and AMD, and HPC accelerators from NVIDIA and AMD. More information is available at www.pgroup.com, firstname.lastname@example.org or by calling (503) 682-2806. To Keep Current on NVIDIA: -- Like NVIDIA on Facebook. -- Connect with NVIDIA on LinkedIn. -- Follow @NVIDIA on Twitter. -- View NVIDIA videos on YouTube. -- Keep up with the NVIDIA Blog. -- Use the Pulse news reader to subscribe to the NVIDIA Daily News feed. About NVIDIA Since 1993, NVIDIA (NASDAQ: NVDA) has pioneered the art and science of visual computing. The company's technologies are transforming a world of displays into a world of interactive discovery -- for everyone from gamers to scientists, and consumers to enterprise customers. More information at http://nvidianews.nvidia.com and http://blogs.nvidia.com. Certain statements in this press release including, but not limited to, statements as to: the features, capabilities, impact, benefits and availability of PGI 2014 Compilers and Tools are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended October 27, 2013. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Copyright 2014 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA, PGI, and Tesla are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. For further information, contact: George Millington NVIDIA Corporation (408) 562-7226 email@example.com
PGI 2014 Brings New Level of Performance, Programming Simplicity to High Performance Computing
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