Visit additional Tabor Communication Publications
November 12, 2012
SALT LAKE CITY, Nov. 12 – The OpenACC standards group is pleased to announce the draft of the new OpenACC Version 2.0 specification at the SC12 conference. This version includes new capabilities and expanded functionality to accommodate the rapidly evolving landscape of HPC accelerators.
“Our goal is to provide the developer ecosystem with a comprehensive and robust model for portable accelerator programming. We look forward to incorporating public feedback into this draft as well as features new to accelerators, such as dynamic parallelism, in the final version.”
OpenACC Version 2.0 allows for superior performance in parallelizing code and an improved developer experience. The performance is derived from new controls over data movement, including better handling of unstructured data and improvements in support for non-contiguous memory.
“OpenACC is an open standard designed to be easy to use, and performance portable across multiple architectures,” said Duncan Poole, President of OpenACC. “Our goal is to provide the developer ecosystem with a comprehensive and robust model for portable accelerator programming. We look forward to incorporating public feedback into this draft as well as features new to accelerators, such as dynamic parallelism, in the final version.”
In addition, the OpenACC 2.0 developer experience is simplified with support for explicit function calls and separate compilation, allowing the creation and reuse of libraries of accelerated code. The draft specification also includes clarifications to the previous 1.0 standard. An OpenACC certification suite has been created in collaboration with OpenACC member University of Houston intended to ensure multiple OpenACC compilers behave similarly in order to create a more uniform user experience.
OpenACC is a programming standard for parallel computing using directives, designed to enable millions of scientists 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.
Recent announcements at SC12 from OpenACC partners:
“Programming using OpenACC directives plays an important role in moving legacy applications to our new hybrid Tier0 architecture CURIE while minimizing custom code needed,” said Stephane Requena, CTO, GENCI, one of the four hosting members of the Partnership for Advanced Computing in Europe (PRACE). “We are excited to see continued investment in programming models for lower-power platforms, such as NVIDIA’s Kepler architecture and ARM-based CARMA platform.”
More information about the draft OpenACC 2.0 specification is available via the OpenACC website at http://www.openacc.org/downloads. Please visit http://www.openacc.org/SC2012 for a guide to the many talks and sessions during the SC12 conference, including an OpenACC Birds of a Feather discussion and hosted debate on Programming Models for Accelerators. Additionally, please visit our partner booths for demonstrations and examples of OpenACC applications.
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.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.