09
    24
    2019

    The Full Monty: Full Hackathon Speeds Scientific Codes Across Domains

    First GPU Hackathon at Sheffield brings together researchers across Ireland and the UK

    The University of Sheffield partnered with NVIDIA and Oak Ridge Leadership Computing Facility (OLCF) to hold its first GPU hackathon where seven applications teams worked alongside mentors with GPU-programming expertise to accelerate their scientific codes using GPUs.
     


    Author: Mozhgan Kabiri Chimeh

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    09
    19
    2019

    Accelerating Science Across Disciplines at Princeton

     

    GPU Hackathon Participants Tackle Code Optimization for Increased Performance   
     

    In today’s competitive research environment, the compute capabilities of scientific applications are critical to the success of many academic research programs. To enable new advances, institutions are turning to specialized teams that help researchers create the most efficient, scalable, and sustainable research codes possible by applying cross-disciplinary computational techniques to new and emerging areas of science.


    Author: Izumi Barker

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    05
    03
    2019

    2019 GPU Hackathon World Tour Continues at Jülich Supercomputing Centre

    European teams across scientific disciplines come together to advance their work with GPU acceleration
     


    Author: Dirk Pleiter

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    12
    19
    2018

    Optimizing an OpenACC Weather Simulation Kernel

    In this blog article I describe recent work to optimize an OpenACC code provided by the UK Met Office. This relatively small computational section has been developed as part of preparations to move to the new LFRic Weather Simulation Model.


    Author: Alan Gray

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    11
    12
    2018

    What's new in OpenACC 2.7!

    In November 2018, OpenACC announced the latest update to the specification, version 2.7. This includes a number of minor updates to the previous version 2.6, in response to user requests from their experiences using OpenACC is real applications. There are many changes through the text that are intended to clarify and simplify the specification without changing its meaning. Here we'll go through the nontrivial changes and their impact. 


    Author: Michael Wolfe

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    05
    29
    2018

    Evaluating the Performance of OpenACC in GCC

    In this  blog, we will be discussing the history of the OpenACC GCC implementation, its availability, and enhancements to OpenACC support in GCC.  You will also learn about a recent project to assess and improve the performance of codes compiled with GCC’s OpenACC support.


    Author: Randy Allen, Director of Advanced Research at Mentor Graphics

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    04
    09
    2018

    OpenACC at GTC 2018

    GTC this year was overwhelming in size and dazzled with innovations. If you haven’t experienced the conference yet, we highly recommend you to check it out - the amount of information pouring through talks, tutorials, demos, panels, posters, startup showcases is just hard to imagine. You’ll find all you need for starting or optimizing your Deep Learning or HPC project on GPUs. 


    Author: Julia Levites, OpenACC.org Marketing Chair

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    03
    16
    2018

    What’s new in OpenACC 2.6?

    Everyone is in a hurry today. And why not? We have CPU’s with more cores than ever and we have GPU’s with over 5,000 cores. The way to use these cores is to expose parallelism in our code. By doing that we can run faster (I don’t believe anyone has ever asked for less performance). One of the best ways to do this is to use OpenACC. OpenACC is great because it is simple to use (just “comments” in your code), allows the user to have control over the parallelization, and is portable.


    Author: Jeff Layton, Senior Solution Architect, NVIDIA

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