Visit additional Tabor Communication Publications
November 15, 2012
SALT LAKE CITY, Nov. 15 – The Portland Group (PGI), a wholly-owned subsidiary of STMicroelectronics and the leading independent supplier of compilers and tools for high-performance computing, today announced plans to extend its PGI Accelerator compiler technology with OpenACC to Intel Xeon Phi coprocessors, Intel's family of products based on the Intel Many Integrated Core (MIC) architecture. Currently, scientists and engineers are using PGI Accelerator Fortran and C compilers as a means to exploit the massively parallel throughput capacity of CUDA-enabled GPUs from NVIDIA. Using their existing code bases and with only minor modifications to their build scripts, software developers using PGI Accelerator compilers will soon be able to target Intel Xeon Phi coprocessors as well.
"Until now, industry CIOs and government and university lab directors have encountered difficult decisions when evaluating accelerator technologies. Do we wait to see which technologies win out? Which programming model or models do we choose? How do we retrain developers to use these programming models? Will our applications be future-proof and portable across the different types of host CPUs and coprocessors?" said Douglas Miles, director, The Portland Group. "PGI Accelerator compilers will make Xeon Phi coprocessors programmable using standard OpenACC directives that are fully compatible with the accelerator application development efforts already under way at most significant HPC centers and sites."
First announced in mid-2009, PGI Accelerator compilers provide a high-level coprocessor programming model intended for scientists, engineers and other domain experts who aren't full-time programmers. PGI Accelerator Fortran 2003, C and C++ compilers enable programmers to offload compute-intensive portions of an application to a coprocessor by adding portable compiler directives, treated as comments by other compilers, to existing standard-compliant programs and recompiling with appropriate compiler options. In 2012, the PGI Accelerator compilers were enhanced to support the new de facto standard OpenACC directives.
Key advantages to programming coprocessors with OpenACC directives include:
"PGI OpenACC will enable programmers to develop portable applications that maximize the performance and power efficiency benefits of the hybrid CPU/Accelerator architecture of Titan," said Buddy Bland, Titan Project Director, Oak Ridge National Laboratory. "We are pleased to see that PGI is adding support for Intel Xeon Phi, which ensures that accelerated applications developed for Titan will port readily to HPC systems that incorporate Intel co-processors."
"As part of our on-going assessments of future computing architectures Sandia is actively engaged in the evaluation of solutions from a spectrum of vendors including Intel, NVIDIA, AMD, ARM and IBM," said Simon Hammond, Sandia National Laboratories. "We are already using PGI's compilers for exploratory code development on accelerators from NVIDIA. PGI's extension of OpenACC to support Intel's Xeon Phi processors enables us to use an open standards based programming model across a wide range of accelerator hardware."
"I've been working with PGI off-and-on since 2008 to explore programming models that can address both today's multi-core and tomorrows accelerator-enabled compute nodes," said John Michalakes, HPC Scientist, National Renewable Energy Laboratory. "PGI's commitment to creating programming models and compilers that enable functional and performance portability across platforms is unquestioned, and I look forward to using their compilers on Xeon Phi."
"We have been studying the performance of the FIM and NIM Numerical Weather Prediction models on both NVIDIA GPUs and Intel Xeon Phi co-processors," said Tom Henderson, Global Systems Division, at NOAA's Earth System Research Laboratory in Boulder. "We have already used the PGI compilers for our NVIDIA work and are pleased to see PGI will be supporting OpenACC as a uniform and standard programming model across both types of accelerators. We are hopeful that PGI OpenACC will provide a performance-portable solution that allows maintenance of a single source code for GPU, CPU, and Xeon Phi."
Beta support for the OpenACC standard on Xeon Phi coprocessors is planned for a PGI release in the first half of 2013. It will be available free of charge to PGI Accelerator licensees with a current PGI subscription. PGI Accelerator Fortran, C and C++ compilers with OpenACC directives currently support x64+NVIDIA systems running under Linux, OS X and Windows; the compilers are supported on all Intel and AMD x64 processor-based systems with CUDA-enabled NVIDIA GPUs. More information on the PGI Accelerator compilers with OpenACC is available at www.pgroup.com/accelerate. More information on the OpenACC API and standard can be found at www.openacc.org. More information on the Intel Xeon Phi coprocessor is at www.intel.com.
Source: The Portland Group
Contributing commentator, Andrew Jones, offers a break in the news cycle with an assessment of what the national "size matters" contest means for the U.S. and other nations...
Today at the International Supercomputing Conference in Leipzing, Germany, Jack Dongarra presented on a proposed benchmark that could carry a bit more weight than its older Linpack companion. The high performance conjugate gradient (HPCG) concept takes into account new architectures for new applications, while shedding the floating point....
Not content to let the Tianhe-2 announcement ride alone, Intel rolled out a series of announcements around its Knights Corner and Xeon Phi products--all of which are aimed at adding some options and variety for a wider base of potential users across the HPC spectrum. Today at the International Supercomputing Conference, the company's Raj....
Jun 18, 2013 |
The world's largest supercomputers, like Tianhe-2, are great at traditional, compute-intensive HPC workloads, such as simulating atomic decay or modeling tornados. But data-intensive applications--such as mining big data sets for connections--is a different sort of workload, and runs best on a different sort of computer.
Jun 18, 2013 |
Researchers are finding innovative uses for Gordon, the 285 teraflop supercomputer housed at the San Diego Supercomputer Center (SDSC) that has a unique Flash-based storage system. Since going online, researchers have put the incredibly fast I/O to use on a wide variety of workloads, ranging from chemistry to political science.
Jun 17, 2013 |
The advent of low-power mobile processors and cloud delivery models is changing the economics of computing. But just as an economy car is good at different things than a full size truck, an HPC workload still has certain computing demands that neither the fastest smartphone nor the most elastic cloud cluster can fulfill.
Jun 14, 2013 |
For all the progress we've made in IT over the last 50 years, there's one area of life that has steadfastly eluded the grasp of computers: understanding human language. Now, researchers at the Texas Advanced Computing Center (TACC) are utilizing a Hadoop cluster on its Longhorn supercomputer to move the state of the art of language processing a little bit further.
Jun 13, 2013 |
Titan, the Cray XK7 at the Oak Ridge National Lab that debuted last fall as the fastest supercomputer in the world with 17.59 petaflops of sustained computing power, will rely on its previous LINPACK test for the upcoming edition of the Top 500 list.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?
Join our webinar to learn how IT managers can migrate to a more resilient, flexible and scalable solution that grows with the data center. Mellanox VMS is future-proof, efficient and brings significant CAPEX and OPEX savings. The VMS is available today.