ICRI-CI The First International Workshop Computer Architecture for Machine Learning

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    Date/Time
    Date(s) - 14/06/2015
    2:30 am - 3:45 am

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    For details please visit the ICRI-CI website HERE

     

    CAMEL  

    THE FIRST INTERNATIONAL WORKSHOP

    COMPUTER ARCHITECTURE FOR

    MACHINE LEARNING

     

    Portland, OR, USA                                             June 14, 2015

    In conjunction with the 42nd International Symposium on Computer Architecture (ISCA-42)

    CALL FOR PAPERS
    The first workshop on “Computer Architecture for Machine Learning” (CAMEL) aims at exploring novel ideas in computer design and HW acceleration for machine learning. 

    Machine learning is a foundation for many applications like speech recognition, natural language processing, automatic translation, computer vision, search and recommendation engines, robotics etc.  It is used for complex computing tasks where using explicitly programmed, rule-based algorithms is either infeasible, or very complex. ML algorithms used to make predictions or decisions based on large data, rather than following explicitly programmed instructions. ML algorithms are very compute and memory intensive. Data is large, and occasionally data is represented as sparse matrix or graphs. Building the general platform for ML is not trivial, since there are a huge variety of algorithms: support vector machines, decision trees, deep learning, Bayesian networks, Hidden Markov Model etc. Machine learning algorithms bring new challenges to the computer architecture such as:

    • Can we build a hardware which will significantly accelerate a large set of ML algorithms while being general enough? 
    • What are the underlying basic blocks?

    CAMEL invites research papers and talks on topics related to

    • HW acceleration for machine learning, deep learning and neural networks
    • HW acceleration for dense and sparse linear algebra, and large scale graph processing
    • HW for machine vision, speech recognition and natural language processing
    • ML workloads and benchmarks

    Workshop will include both invited talks and peer-reviewed papers. Peer-reviewed papers will not be published in proceedings. Therefore, submitting to CAMEL will not preclude future publication opportunities. Papers and presentation slides will be made available online with the authors’ approval

    SUBMISSION GUIDELINE 
    Submit a 2-page abstract in PDF format to organizers: boris.ginzburg@intel.com,ronny.ronen@intel.com, and temam@google.com by March 31, 2015.  Please useguidelines from the main conference. For additional information regarding paper submissions, please contact the organizers.

    IMPORTANT DATES

    • Abstract submission: March 31, 2015
    • Author notification: April 30, 2015
    • Final camera-ready paper: May 31, 2015
    • Workshop: June 14, 2015
       

    WORKSHOP ORGANIZERS

    Boris Ginzburg, Intel:  boris.ginzburg@intel.com
    Ronny Ronen, Intel:    ronny.ronen@intel.com
    Olivier Temam, Google:   temam@google.com