Tag: Accelerators

Handicapping IBM/OpenPOWER’s Odds for Success

Jan 19, 2016 |

2016 promises to be pivotal in the IBM/OpenPOWER effort to claim a non-trivial chunk of the Intel-dominated high-end server landscape. Big Blue’s stated goal of 20-to-30 percent market share is huge. Intel currently enjoys 90-plus percent share and has seemed virtually unassailable. In an ironic twist of the old mantra ‘no one ever got fired Read more…

Processor Diversity on the Rise, Reports Intersect360

Nov 12, 2015 |

Intel x86 processors continue to dominate HPC servers while the number of cores per processor also keeps rising, perhaps no surprises there. Also somewhat anticipated, the amount of memory per core, per processor, and per node is rising. These are the top line results of Intersect360 Research’s latest HPC sites survey on processor use. A Read more…

PGI Accelerator Compilers Add OpenACC Support for x86 Multicore CPUs

Oct 29, 2015 |

NVIDIA today announced availability of its newest PGI Accelerator Fortran, C and C++ compilers (version 15.10) now with support for OpenACC directives-based parallel programming standard on x86 architecture multicore microprocessors. The new compilers allow OpenACC-enabled source code to be compiled for parallel execution on a multicore CPU or a GPU accelerator. “Our goal is to Read more…

The Best of HPC in 2014

Jan 27, 2015 |

As we turn the page to 2015, we’re taking a look back at the top stories from 2014 to reflect on just how far the fastest machines in the world (and the people who run them) have come within only 12 months. From the blending of big data and HPC to hardware breakthroughs, 2014 points Read more…

Adapting Algorithms to Modern Hybrid Architectures

Aug 13, 2014 |

Technology, like other facets of life, commonly experiences cycles of rapid change followed by periods of relative stability. Computing has entered a stage of increased architectural diversity, as evidenced by the rise of accelerators, coprocessors, and other alternatives, like ARM processors. An international team of researchers explores how these various supercomputing architectures perform on parallelized turbulent Read more…

Building Parallel Code with Hybrid Fortran

Jul 31, 2014 |

Over at the Typhoon Computing blog, Michel Müller addresses a topic that is top of mind to many HPC programmers: porting code to accelerators. Fortran programmers porting their code to GPGPUs (general purpose graphics processing units) have a new tool at their disposal, called Hybrid Fortran. Müller shows how this open source framework can enhance portability without sacrificing performance and maintainability. From the blog (editor’s note: the site Read more…

Comparing Peak Floating Point Claims

Jun 17, 2014 |

With Moore’s law and associated silicon transistor performance “laws” winding down, there is renewed interest in accelerators, e.g., digital signal processors (DSPs), graphics processing units (GPUs), and field-programmable gate arrays (FPGAs). Measuring the peak floating-point performance of these non-traditional computing architectures is not without challenges, however. A new white paper from Altera’s Michael Parker attempts to shed Read more…

The Future of Accelerator Programming

Jan 9, 2014 |

Many of the latest supercomputers are based on accelerators, including the two fastest systems according to the 11/2013 TOP500 list. Accelerators are also becoming widespread in PCs and are even starting to appear in handheld devices, which will further boost the interest in accelerator programming. This broad adoption is the result of high performance, good Read more…

Compilers and More: Accelerated Programming

Dec 3, 2013 |

Having just returned from SC13, one burning issue is the choice of a standard approach for programming the next generation HPC systems. While not guaranteed, these systems are likely to be large clusters of nodes with multicore CPUs and some sort of attached accelerators. A standard programming approach is necessary to convince developers, and particularly Read more…

Opening Up the Accelerator Advantage

Nov 26, 2013 |

Researchers at Georgia Institute of Technology and University of Southern California will receive nearly $2 million in federal funding for the creation of tools that will help developers exploit hardware accelerators in a cost-effective and power-efficient manner. The purpose of this three-year NSF grant is to bring formerly niche supercomputing capabilities into the hands of Read more…