Tag: NVIDIA

Mellanox, IBM, ORNL Spearhead UCX Framework Initiative

Jul 13, 2015 |

Interconnect technology specialist Mellanox announced at ISC today a collaboration to develop a new open-source network communication framework – United Communication X Framework (UCX) – for high- performance and data-centric applications. The effort is intended to provide platform abstractions supporting various communication technologies for “high performance compute, and data platforms” and will help pave the Read more…

NVIDIA Wades Farther into Deep Learning Waters

Jul 7, 2015 |

Continuing the machine learning push that set the tone for this year’s GPU Technology Conference, NVIDIA is refreshing its GPU-accelerated deep learning software in tandem with the 2015 International Conference on Machine Learning (ICML), one of the major international conferences focused on the burgeoning domain. The announcement involves updates to CUDA, cuDNN, and DIGITS. Altogether the new features provide significant Read more…

Is IBM Getting Openness Right? Yes, Says GM Doug Balog

Jun 29, 2015 |

The annual Red Hat Summit, held in Boston last week, is something of revival tent for open source where the pulpits are plentiful and so are smiling believers. Indeed it’s hard to dispute the powerful innovation springing from open source. The RH Summit, which started 11 years ago as a modest celebration of open source 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…

Tech Giants Battle for Image Recognition Supremacy

May 13, 2015 |

The race to exascale isn’t the only rivalry stirring up the advanced computing space. Artificial intelligence sub-fields, like deep learning, are also inspiring heated competition from tech conglomerates around the globe. When it comes to image recognition, computers have already passed the threshold of average human competency, leaving tech titans, like Baidu, Google and Microsoft, vying to Read more…

Machine Learning Guru Sees Future in Multi-GPU Clusters

Apr 30, 2015 |

Machine learning has made enormous strides in the few years, owing in large part to powerful and efficient parallel processing provided by general-purpose GPUs. The latest example of this trend is exemplified by a partnership between New York University’s Center for Data Science and NVIDIA. The mission, says the pair, is to develop next-gen deep learning Read more…

Summit Puts 13 Code Projects Into Readiness Program

Apr 15, 2015 |

When the Oak Ridge National Laboratory’s Summit supercomputer powers up in 2018, it will provide the Department of Energy (DOE) research community with 150 to 300 peak petaflops of computational performance. To extract the highest benefit from this multi-million dollar machine that will be five to ten times the capability of the current fastest US Read more…

Something for Everyone at GPU Technology Conference

Mar 23, 2015 |

Once relegated to the category of specialized gaming hardware, today’s graphics processors are solving some of the world’s toughest computing problems. During GTC15 last week in San Jose, the full breadth and depth of session topics provided even more evidence of how far graphics processors have come from their gaming roots. And while this year deep Read more…

IBM’s First OpenPOWER Server Targets HPC Workloads

Mar 19, 2015 |

The first annual OpenPOWER Summit, held this week in San Jose, Calif., in tandem with NVIDIA’s GPU Technology Conference (GTC), launched a raft of hardware and other announcements intended to cede market share from Intel. On Wednesday, foundation members showed off more than a dozen hardware solutions, an assortment of systems, boards, and cards, and even a new microprocessor Read more…

A Comparison of Heterogeneous and Manycore Programming Models

Mar 2, 2015 |

The high performance computing (HPC) community is heading toward the era of exascale machines, expected to exhibit an unprecedented level of complexity and size. The community agrees that the biggest challenges to future application performance lie with efficient node-level execution that can use all the resources in the node. These nodes might be comprised of Read more…

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