Trinity College

Displaying 1-5 of 5 results

  • White Papers // Mar 2012

    StratusLab Cloud Distribution

    Cloud technologies provide many benefits for scientific and engineering applications, such as customised execution environments, near-instantaneous provisioning, elasticity, and the ability to run user-level services. However, a rapid, wholesale shift to using public, commercial cloud services is unlikely because of capital investments in existing resources and data management issues. To...

    Provided By Trinity College

  • White Papers // Apr 2011

    Mining the Web for the Voice of the Herd to Track Stock Market Bubbles

    The authors show that power-law analyses of financial commentaries from newspaper web-sites can be used to identify stock market bubbles, supplementing traditional volatility analyses. Using a four-year corpus of 17,713 online, finance-related papers (10M+ words) from the Financial Times, the New York Times, and the BBC, they show that week-to-week...

    Provided By Trinity College

  • White Papers // Jun 2009

    Efficient Acceleration of Asymmetric Cryptography on Graphics Hardware

    Graphics Processing Units (GPU) are increasingly being used for general purpose computing. The authors present implementations of large integer modular exponentiation, the core of public-key cryptosystems such as RSA, on a DirectX 10 compliant GPU. DirectX 10 compliant graphics processors are the latest generation of GPU architecture, which provide increased...

    Provided By Trinity College

  • White Papers // Sep 2007

    AES Encryption Implementation and Analysis on Commodity Graphics Processing Units

    Graphics Processing Units (GPUs) present large potential performance gains within stream processing applications over the standard CPU. These performance gains are best realized when high computational intensity is required across large amounts of mostly independent input elements. The GPU's success in general purpose stream processing has been demonstrated in many...

    Provided By Trinity College

  • White Papers // Sep 2006

    Modelling Event Systems for AmI Applications Using an Aspect Middleware Platform

    The development of a communication service is one of the most difficult and important challenges when developing Ambient Intelligence (AmI) applications. Since AmI applications must be able to react to external events, event-based communication is a natural way to disseminate such events amongst all interested AmI components. A wide range...

    Provided By Trinity College

  • White Papers // Apr 2011

    Mining the Web for the Voice of the Herd to Track Stock Market Bubbles

    The authors show that power-law analyses of financial commentaries from newspaper web-sites can be used to identify stock market bubbles, supplementing traditional volatility analyses. Using a four-year corpus of 17,713 online, finance-related papers (10M+ words) from the Financial Times, the New York Times, and the BBC, they show that week-to-week...

    Provided By Trinity College

  • White Papers // Mar 2012

    StratusLab Cloud Distribution

    Cloud technologies provide many benefits for scientific and engineering applications, such as customised execution environments, near-instantaneous provisioning, elasticity, and the ability to run user-level services. However, a rapid, wholesale shift to using public, commercial cloud services is unlikely because of capital investments in existing resources and data management issues. To...

    Provided By Trinity College

  • White Papers // Sep 2006

    Modelling Event Systems for AmI Applications Using an Aspect Middleware Platform

    The development of a communication service is one of the most difficult and important challenges when developing Ambient Intelligence (AmI) applications. Since AmI applications must be able to react to external events, event-based communication is a natural way to disseminate such events amongst all interested AmI components. A wide range...

    Provided By Trinity College

  • White Papers // Sep 2007

    AES Encryption Implementation and Analysis on Commodity Graphics Processing Units

    Graphics Processing Units (GPUs) present large potential performance gains within stream processing applications over the standard CPU. These performance gains are best realized when high computational intensity is required across large amounts of mostly independent input elements. The GPU's success in general purpose stream processing has been demonstrated in many...

    Provided By Trinity College

  • White Papers // Jun 2009

    Efficient Acceleration of Asymmetric Cryptography on Graphics Hardware

    Graphics Processing Units (GPU) are increasingly being used for general purpose computing. The authors present implementations of large integer modular exponentiation, the core of public-key cryptosystems such as RSA, on a DirectX 10 compliant GPU. DirectX 10 compliant graphics processors are the latest generation of GPU architecture, which provide increased...

    Provided By Trinity College