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Tag: NVIDIA

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…

NVIDIA Foundation Sponsors Pioneering Cancer Research

Dec 1, 2014 |

NVIDIA employees have stepped up to the plate on behalf of a very worthy cause. Earlier this week, the NVIDIA Foundation dedicated $400,000 in grants to turn innovative computing methods into cancer-fighting technologies as part its Compute the Cure effort. Two projects – one at Boston’s Dana-Farber Cancer Institute and the other based on the distributed computing Read more…

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…

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…

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…

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…

BAE Systems Hones HPC Strategy

Jul 16, 2014 |

High-performance computing is vitally important to the mission of BAE Systems, one of the largest defense, aerospace, and security contractors in the world. As a high-tech manufacturer, BAE Systems relies on simulation and modeling software to design and build its products. The group responsible for identifying and developing this technology inside BAE Systems is called Read more…

Programmability Matters

Jun 30, 2014 |

While discussions of HPC architectures have long centered on performance gains, that is not the only measure of success, according to Petteri Laakso of Vector Fabrics. Spurred by ever-proliferating core counts, programmability is taking on new prominence. Vector Fabrics is a Netherlands-based company that specializes in multicore software parallelization tools, so programmability is high on Read more…

Student Supercomputing Competition Embraces GPU-Power

Jun 26, 2014 |

The third and final day of ISC14 concluded with a ceremony honoring one of the week’s most popular events, the Student Cluster Challenge. Taking home first prize for the second straight year was the team from the Centre for HPC (CHPC) in South Africa. Jointly sponsored by Dell, NVIDIA and Mellanox, the undergraduate team relied on Read more…

ASC14 Marks Seventh Win for GPUs

May 29, 2014 |

The past decade has seen a sharp rise in heterogenous computing, processing or coprocessing using more than one processor type. One of the most prominent examples of heterogenous elements in HPC is the GPU computing ecosystem that has been fostered by NVIDIA and AMD. General-purpose GPU (GPGPU) adoption has become widespread in HPC, and student supercomputing Read more…

SC14 Virtual Booth Tours

AMD SC14 video AMD Virtual Booth Tour @ SC14
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IBM DCS3860 and Elastic Storage @ SC14 video IBM DCS3860 and Elastic Storage @ SC14
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IBM Flash Storage
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IBM Platform @ SC14 video IBM Platform @ SC14
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IBM Power Big Data SC14 video IBM Power Big Data @ SC14
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Intel SC14 video Intel Virtual Booth Tour @ SC14
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Lenovo SC14 video Lenovo Virtual Booth Tour @ SC14
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Mellanox SC14 video Mellanox Virtual Booth Tour @ SC14
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Panasas SC14 video Panasas Virtual Booth Tour @ SC14
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Quanta SC14 video Quanta Virtual Booth Tour @ SC14
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Seagate SC14 video Seagate Virtual Booth Tour @ SC14
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Supermicro SC14 video Supermicro Virtual Booth Tour @ SC14
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