Tag: GPU

NVIDIA Pascal GPUs Coming to Automotive ‘Supercomputer’

Jan 6, 2016 |

It’s no secret that NVIDIA is eager to take elements of its successful GPGPU ecosystem developed in partnership with the HPC community and transfer these to the much broader, and more lucrative, consumer space. At SC15, CEO Jen-Hsun Huang referred to machine learning as HPC’s first consumer killer app. Google, Microsoft, and Facebook have all made major machine Read more…

Contrary View: CPUs Sometimes Best for Big Data Visualization

Dec 1, 2015 |

Contrary to conventional thinking, GPUs are often not the best vehicles for big data visualization. In this commentary, I discuss several key technical reasons why a CPU-based “Software Defined Visualization” approach can deliver a more flexible, performant, scalable, cost effective, and power efficient solution to big data visualization than a conventional GPU-based approach. An example Read more…

ORNL Shows Off Titan on Periscope

Nov 5, 2015 |

If you need a reason to join the Periscope craze, how about getting an inside look at the fastest supercomputer in the United States? Today staff at the Oak Ridge Leadership Computing Facility (OLCF), the DOE Office of Science user facility at Oak Ridge National Laboratory (ORNL) took the Periscope audience on a tour of Titan, Read more…

Cray XK7 Titan Used to Simulate Complicated Blood Flow

Oct 14, 2015 |

A team of researchers from Brown University, ETH Zurich, the Universita da Svizzera Italiana (USI) and Consiglio Nazionale delle Ricerche (CNR) is using America’s largest, most powerful supercomputer to help understand and fight diseases affecting some of the body’s smallest building blocks. The team, led by Brown’s George Karniadakis, is using the Cray XK7 Titan supercomputer Read more…

Microsoft Puts GPU Boosters on Azure Cloud

Sep 29, 2015 |

Today at its AzureCon, Microsoft expanded the capabilities of its public cloud, Azure, with the addition of N-series GPU-enabled virtual machines available over a fast RDMA network. The company also announced that it is reducing prices on its high-end instances, A8-A11. Jazon Zander, corporate vice president at Microsoft Azure, began by presenting a view of Azure Read more…

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…

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…

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…

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…

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…