Tag: GPU

Filippo Mantovani on What’s Next for Mont-Blanc and ARM

Jul 6, 2015 |

Firing up the Mont-Blanc prototype in mid-June at the Barcelona Supercomputing Center (BSC) was a significant milestone in the European effort to base HPC systems on energy efficient architecture. Mont-Blanc program coordinator Filippo Mantovani was quoted in the release announcing the prototype saying, “Now the challenge starts because with this platform we can foresee how Read more…

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The Necessary Marriage of Big Data with Exascale

Jun 29, 2015 |

Failure to incorporate big data computing insights into efforts to achieve exascale computing would be a critical mistake argue Daniel Reed and Jack Dongarra in their article, Exascale Computing and Big Data, published in the July issue of the Communications of the ACM journal. While scientific and big data computing have historically taken different development Read more…

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Sumit Gupta Leaves NVIDIA to Join IBM

May 19, 2015 |

Long-time industry executive Sumit Gupta has left GPU-pioneer NVIDIA, were he was GM, GPU Accelerated Data Center Computing, to join IBM as VP, HPC & OpenPOWER Operations. Executive changes in the HPC world are common but changes at this executive level are rare. Few details are known but IBM provided the background answers below to Read more…

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HSA Spec Lays Out Architecture for Acceleration

Mar 17, 2015 |

The Heterogeneous System Architecture (HSA) Foundation marked what it says will be known as a watershed event in heterogeneous computing with the release of the HSA 1.0 specification. The new spec, nearly three years in the making, brings the foundation closer to its goal of enabling write-once run-anywhere programming for accelerated computing on devices ranging from the Read more…

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NVIDIA K80 GPU-System Speeds Up Bioinformatics Tool 12X

Jan 28, 2015 |

Not long ago, the high cost and relative slowness of DNA sequencing were the rate-limiting bottlenecks in biomedical research. Today, post-sequencing data analysis is the biggest challenge. The reason, of course, is the prodigious output from modern next-generation sequencing (NGS) instruments (e.g., Illumina and ThermoFisher/Life Technologies) overwhelming analysis pipelines. Efficiently sifting the data treasure trove Read more…

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NVIDIA GPUs Unfold Secrets of the Human Genome

Jan 16, 2015 |

With 3 billion base pairs of DNA on hand, it’s no wonder that genes are able to program nearly ever detail of our physical makeup, from constructing organs to fighting off disease. But how can a system so vast find the right operating manual for one body part, and ignore all the data meant for Read more…

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New Code Paradigms Cooking for CORAL

Dec 2, 2014 |

News of the massive CORAL procurement for the next generation pre-exascale systems stole headlines in November, but now that the excitement is simmering, many are beginning to ask critical questions about the architecture—and what it will mean for programmers trying to take advantage of the massive amount of memory, compute, and options to blend the Read more…

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GPUs Advance Deep Learning

Sep 18, 2014 |

Over the last decade, GPU-acceleration techniques have infiltrated the high-end of supercomputing, but increased adoption of GPUs is occurring in other compute-driven disciplines too, like deep learning, one of the fastest growing segments of the machine learning field. The trend toward accelerated computing reached a new high at last week’s ImageNet Large Scale Visual Recognition Challenge. The event, Read more…

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Cray Adds GPU Powerhouse to CS Supercomputer Lot

Aug 26, 2014 |

The CS family of Cray systems was graced with a new addition today with the arrival of a dense, memory-loaded GPU offering that adds big acceleration to select HPC workloads. The new CS-Storm, which offers up to 8 NVIDIA K40s per 2U server and a peak performance of 11 teraflops per Ivy Bridge-outfitted node, is Read more…

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NVIDIA Boasts ‘Compelling HPC Solution’

Aug 20, 2014 |

Today marks the official release of the NVIDIA CUDA Toolkit version 6.5, which had previously been only available in its pre-release form. In a company blog post, NVIDIA’s Chief Technologist for GPU Computing Software Mark Harris covers the toolkit’s new features and improvements, including “support for CUDA Fortran in developer tools, user-defined callback functions in Read more…

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