Welcome!

Server Monitoring Authors: Yeshim Deniz, Liz McMillan, Pat Romanski, Carmen Gonzalez, Ken Schwaber

News Feed Item

PGI Release 2010 Enables Scientists and Engineers to Harness the Computational Power of GPUs

Latest compilers from The Portland Group extend support for the PGI Accelerator Programming Model and PGI CUDA Fortran

PORTLAND, Ore., Nov. 12 /PRNewswire-FirstCall/ -- The Portland Group®, a wholly-owned subsidiary of STMicroelectronics, today announced that release 2010 of the PGI® line of high-performance parallelizing compilers and development tools for Linux, Mac OS X and Windows will be available on Tuesday, November 17. PGI 2010 is the first general release to include full support for the PGI Accelerator Programming model v1.0 standard on x64 processor-based systems incorporating NVIDIA CUDA(1)-enabled Graphical Processing Units (GPUs). In addition to supporting high-level programming of accelerators using the PGI Accelerator programming model, the PGI Release 2010 also includes PGI CUDA Fortran, an explicit GPU programming model and application programming interface (API) that gives expert programmers direct control of all aspects of programming NVIDIA GPUs.

The PGI Accelerator programming model is a collection of compiler directives used to specify regions of code in Fortran and C programs that can be offloaded from a host CPU to an attached accelerator to enhance performance. Applications optimized using the PGI Accelerator directives remain 100% portable to other compilers and platforms, and execute on systems with or without a GPU accelerator.

PGI 2010 offers full support for the PGI Accelerator programming model including the following new features:

  • GPU device-resident data - the ability to define and leave data on the GPU across accelerator regions and subroutine boundaries
  • Support for COMPLEX and DOUBLE COMPLEX data types in Fortran
  • Support for C structs and Fortran derived types
  • Automatic GPU-side loop unrolling for improved performance
  • Support for Accelerator regions nested within OpenMP parallel regions
  • Support for Linux, Mac OS X (including Snow Leopard) and Windows (including Windows 7).

"Within five years, most HPC systems will include both x86 CPUs and accelerators in some form," said Douglas Miles, director, The Portland Group. "The PGI 2010 compilers will play a role in establishing accelerated computing as the mainstream HPC architecture."

PGI CUDA Fortran includes a Fortran 95/03 compiler and tool chain for native programming of NVIDIA GPUs using Fortran. CUDA Fortran subroutines can launch and execute in parallel on the hundreds of cores in an NVIDIA GPU under control of an x64 host CPU. Developed in collaboration with NVIDIA, PGI CUDA Fortran extensions supported in the PGI 2010 Fortran 95/03 compiler enable HPC developers to explicitly control all aspects of data movement, memory utilization and computation on CUDA GPUs.

Additional new features in the PGI 2010 compilers and tools include support for more Fortran 2003 incremental features, the latest EDG 4.1 C++ front-end with enhanced GNU and Microsoft compatibility, OpenMP parallel programming support for up to 256 cores, and AVX code generation. PGI 2010 also includes a major update to the PGPROF performance profiler, which now supports performance profiling of binary executables without re-compiling or any special software privileges, uniform operation and features on Linux, Mac OS X and Windows, support for PGI Accelerator and PGI CUDA Fortran GPU-side performance statistics, and an updated graphical user interface. Finally, PGI 2010 supports the latest operating system releases including Red Hat Fedora 10/11, SuSE 11.1 and Ubuntu 9, Mac OS X Snow Leopard and Windows 7.

Enhancements in the PGI 2010 release of PGI Visual Fortran for Microsoft Visual Studio include full support for the PGI Accelerator Programming model and PGI CUDA Fortran on NVIDIA CUDA-enabled GPUs, and the addition of a new standalone version of the PGPROF performance profiler for x64 and GPUs with support for the Common Compiler Feedback Format (CCFF). CCFF is a draft standard published by PGI that defines what compiler information is stored and how the information is formatted. CCFF enables HPC tools providers to offer more and better information about optimizing performance.

More information about the PGI Accelerator Programming model is available online at www.pgroup.com/accelerate. PGI CUDA Fortran information is available separately at www.pgroup.com/cudafortran. Evaluation copies of the new PGI 2010 compilers are available from The Portland Group web site at www.pgroup.com. Registration is required.

About The Portland Group

The Portland Group, a wholly-owned subsidiary of STMicroelectronics, is the premier supplier of high-performance Fortran, C, and C++ compilers and tools for high-end computing systems and x64 and x86 processor-based workstations, servers, and clusters. PGI® products are used widely by engineers, researchers and scientists in high-performance computing (HPC), the field of technical computing engaged in the modeling and simulation of complex processes, such as ocean modeling, weather forecasting, seismic analysis, bioinformatics and other areas. PGI compilers, which convert software programs into the binary instructions that computers understand, are recognized in the HPC community for delivering world-class performance across a wide spectrum of applications and benchmarks, and they are referenced regularly as the industry standard for performance and reliability.

Further information on The Portland Group products can be found at www.pgroup.com, by calling Sales at (503) 682-2806, or by email to [email protected].

About STMicroelectronics

STMicroelectronics is a global leader serving customers across the spectrum of electronics applications with innovative semiconductor solutions. ST aims to be the undisputed leader in multimedia convergence and power applications leveraging its vast array of technologies, design expertise and combination of intellectual property portfolio, strategic partnerships and manufacturing strength. In 2008, the Company's net revenues were $9.84 billion. Further information on ST can be found at www.st.com.

All trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.

(1) CUDA(TM) is the architecture of the NVIDIA line of GPUs.

SOURCE STMicroelectronics

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...