hpc-ch
  • Facebook
  • Twitter
  • Youtube
  • Rss
The Swiss HPC Service Provider Community
  • Home
    • Calls for Proposals
    • Conferences & Presentations
      • Video of talks
    • Courses & Workshops
      • Video of Courses
    • Job offers
    • Science
    • Technology
    • Video blog
  • About
    • hpc-ch Community News
    • hpc-ch Booth
    • Forums
    • HPC Advisory Council
  • Members Academia
    • [BC]2
    • CHIPP
    • CSCS
    • EMPA
    • EPF Lausanne
    • ETH Zurich
    • PSI – Paul Scherrer Institut
    • Speedup
    • SwiNG
    • SWITCH
    • SystemsX.ch
    • Università d. Svizzera italiana
    • Universität Basel
    • Universität Bern
    • Université de Fribourg
    • Université de Genève
    • Université de Lausanne
    • Universität Zürich
    • Vital-IT
    • WSL
  • Members Industry
    • Casale Group
    • Credit Suisse
    • Hilti
    • MeteoSwiss
    • Novartis
    • PartnerRe
    • Syngenta Crop Protection
  • Contact
Home» Topics » Conferences and Presentations » HPC Relevant Workshops at eScience2012 – Extending HPC to New Communities + Big Data Processing

HPC Relevant Workshops at eScience2012 – Extending HPC to New Communities + Big Data Processing

Posted on February 26, 2012 by mdl in Conferences and Presentations
eScience2012

Representatives of our hpc-ch community could be interested in participating to two of the associated workshop of the  eScience2012 conference (Chicago, 8-12 October 2012):

Workshop – Extending High-Performance Computing Beyond its Traditional User Communities – The desired outcome of the workshop is an improved understanding of actions that should be taken by the various stakeholders in order to enable a wide spectrum of practitioners to use HPC resources as part of their work and data flows, and to establish an informal network of people and communities interested in this outcome.

Tutorial – Big Data Processing: Lessons from Industry and Applications in Science – This tutorial aims to clarify some of the critical concepts in the design space of big data and scalable data analytics and share lessons from industry that readily apply to science applications. We will provide a detailed tour of the primary technology and systems powering the analytic and scalable data management landscape in industry, identify appropriate systems for a specific set of application requirements in science and technical computing, and illustrate how they can be used to develop big data applications using practical, real-world examples such as weblog processing, distributed machine learning over large data sets, and sensor data processing.

Bookmark and Share
Conferences and Presentations

Featured video

Discussion between Daniel Duffy and William Putman (NASA): Challenges for global climate simulation

Latest hpc-ch Tweets

  • Could not fetch Twitter RSS feed.

Posts by Category

(c) 2013 www.hpc-ch.org