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Controlling Soft Errors at Scale

Oct 2, 2013 |

There are many important issues when it comes to advancing the field of HPC toward the exascale era, but among all these variables, there are about five or so sticking points that really stand-out: one of these is controlling for soft errors. As the number of cores per machine increases, incorrect behaviors, known as soft Read more…

Harlan Targets Complexity for GPGPU Programming

Jul 11, 2013 |

HPC programmers who are tired of managing low-level details when using OpenCL or CUDA to write general purpose applications for GPUs (GPGPU) may be interested in Harlan, a new declarative programming language designed to mask the complexity and eliminate errors common in GPGPU application development.

Research Roundup: Toward a More Efficient Cloud

May 10, 2013 |

In this week’s hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a unified programming model for diverse data-intensive cloud computing paradigms.

The Week in HPC Research

May 2, 2013 |

We’ve scoured the journals and conference proceedings to bring you the top research stories of the week. This diverse set of items includes the latest CAREER award recipient; the push to bring parallel computing to the classroom; HPC in accelerator science; the emerging Many-Task Computing paradigm; and a unified programming model for data-intensive computing.

The Week in HPC Research

Apr 18, 2013 |

A giant leap in bone structure research paves the way for advances in osteoporosis treatment; details from UCSD’s Research CyberInfrastructure (RCI) Program reveal what PIs really want; and a cloud computing programming model puts the focus on predictable performance. Plus GPU-related research and more…

ARM Gets Behind Accelerator Programming Project

May 29, 2012 |

<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/CARP_logo.png” alt=”” width=”123″ height=”69″ />ARM Holdings, along with seven other academic and industrial partners, is ramping up a European research project designed to bring accelerator programming to mainstream developers. Known as CARP (Correct and Efficient Accelerator Programming), the effort is focused on developing hardware-independent programming tools around OpenCL, the industry standard parallel computing environment for GPUs and other accelerators.

NVIDIA Pokes Holes in Intel’s Manycore Story

Apr 3, 2012 |

<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/knights_corner_small.JPG” alt=”” width=”105″ height=”87″ />As NVIDIA’s upcoming Kepler-grade Tesla GPU prepares to do battle with Intel’s Knight Corner, the companies are busy formulating their respective HPC accelerator stories. While NVIDIA has enjoyed the advantage of actually having products in the field to talk about, Intel has managed to capture the attention of some fence-sitters with assurances of high programmability, simple recompiles, and transparent scalability for its Many Integrated Core (MIC) coprocessors. But according to NVIDIA’s Steve Scott, such promises ignore certain hard truths about how accelerator-based computing really works.

Why Fortran Still Matters

Sep 20, 2011 |

Steve Lionel, aka, “Doctor Fortran” defends the venerable programming language and its modern relevance.

Taking a Disruptive Approach to Exascale

Aug 18, 2011 |

A recent DOE workshop that focused on exascale challenges and current gaps in research and ideology provided food for thought for those seeking a “disruptive” approach to this next level of computing. We highlight a handful of the presentations, delivered by some of the most noteworthy researchers and practitioners in the field.

GE to Share Supercomputing, Engineering Insights

Jul 14, 2011 |

General Electric is discussing some lessons learned from its Advanced Computing Lab in a series of learning sessions.

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