Tag: GPU computing

Setting Up CUDA in the Cloud

Mar 26, 2013 |

Tutorial describes how to implement CUDA and parallel programming in the AWS Cloud.

Volta Adds Charge to GPU Roadmap

Mar 21, 2013 |

<img src=”http://media2.hpcwire.com/hpcwire/nvidia_gpu_graphic.jpg” alt=”” width=”94″ height=”65″ />This week at NVIDIA’s GPU Technology Conference, the priorities for GPU computing’s future, including providing snappy access to high memory bandwidth, were cited as critical to growing user ranks. The energy consumption, data volume and velocity requirements are giving way to new, more efficient and higher bandwidth approaches, including Volta, which was revealed during the keynote event.

Swiss ‘GPU Supercomputer’ Will Be Fastest in Europe

Mar 19, 2013 |

<img src=”http://media2.hpcwire.com/hpcwire/CSCS_Cray_XC30_thumbnail.jpg” alt=”” width=”95″ height=”82″ />During his keynote address for the annual GPU Technology Conference, NVIDIA CEO Jen-Hsun Huang revealed that the Swiss National Supercomputing Center (CSCS) is building Europe’s fastest GPU-accelerated supercomputer, an extension of a Cray system that was announced last year. This will be the first Cray supercomputer equipped with Intel Xeon processors and NVIDA GPUs.

HPC in the Cloud Research Roundup

Mar 15, 2013 |

<img src=”http://media2.hpcwire.com/hpccloud/Network_optimization_225x.jpg” alt=”” width=”95″ height=”64″ />The top HPC cloud research story this week addresses the question: What if it were possible to cheaply and easily test the suitability of moving to a cloud platform – a virtual “try it before you buy it”? In other items, researchers explore the reliability of HPC cloud, take another pass at GPU virtualization, and evaluate I/O performance in Amazon’s EC2 cloud.

The Week in HPC Research

Mar 7, 2013 |

<img src=”http://media2.hpcwire.com/hpcwire/future_insight_200x.jpg” alt=”” width=”100″ height=”58″ />The top research stories of the week include novel methods of data race detection; a comparison of predictive laws; a review of FPGA’s promise; GPU virtualization using PCI Direct pass-through; and an analysis of the Amazon Web Services High-IO platform.

Titan Sets High Water Mark for GPU Supercomputing

Oct 29, 2012 |

<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Titan_supercomputer_small.jpg” alt=”” width=”98″ height=”77″ />Oak Ridge National Laboratory has officially launched its much-anticipated Titan supercomputer, a Cray XK7 machine that will challenge IBM’s Sequoia for petaflop supremacy. With Titan, ORNL gets a system that is 10 times as powerful as Jaguar, the lab’s previous top system upon which the new machine is based. With a reported 27 peak petaflops, Titan now represents the most powerful number-cruncher in the world.

NVIDIA Launches Fifth-Generation CUDA

Oct 15, 2012 |

<img src=”http://media2.hpcwire.com/hpcwire/CUDA_5.bmp” alt=”” width=”93″ height=”26″ />Chipmaker NVIDIA has released CUDA 5, its latest and greatest toolkit for GPU computing. This new version adds Kepler hardware support for the supercomputing crowd as well as extra functionality to boost developer productivity. CUDA 5 is being launched just a few months ahead of the new K20 GPU, which is scheduled to be available before the end of the year.

Did Amazon Really Buy a Boatload of Teslas?

Oct 11, 2012 |

There’s a story circulating that Amazon purchased more than 10,000 NVIDIA Kepler-based boards for its EC2 service.

Did Amazon Really Buy a Boatload of Teslas?

Oct 11, 2012 |

There’s a story circulating that Amazon purchased more than 10,000 NVIDIA Kepler-based boards for its EC2 service.

Now at AMD, John Gustafson Wants to Light a Fire Under GPU Computing

Sep 13, 2012 |

<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/John_Gustafson.jpg” alt=”” width=”83″ height=”101″ />AMD looks like it’s getting set to jump back into the GPU computing arena with chips a-blazin. A couple of weeks ago, the company signed up HPC industry-heavyweight John Gustafson as the chief architect for the Graphics Business Unit. Gustafson will essentially fill the CTO role there, driving the technology roadmap and direction for the chipmaker’s discrete GPU business. And he’s got a few ideas on how he’s going to do that.