Sandia Laboratory Federal Credit Union

Displaying 1-3 of 3 results

  • White Papers // Jan 2014

    High Performance Descriptive Semantic Analysis of Semantic Graph Databases

    As Semantic Graph DataBase (SGDB) technology grows to address components ranging from extant large triple stores to SPARQL endpoints over SQL-structured relational databases, it will become increasingly important to be able to understand their inherent semantic structure, whether codified in explicit ontology or not, for tasks ranging from analysis, interpretation,...

    Provided By Sandia Laboratory Federal Credit Union

  • White Papers // Sep 2012

    A State-Machine Approach to Disambiguating Supercomputer Event Logs

    Supercomputer components are inherently stateful and interdependent, so accurate assessment of an event on one component often requires knowledge of previous events on that component or others. Administrators who daily monitor and interact with the system generally possess sufficient operational context to accurately interpret events, but researchers with only historical...

    Provided By Sandia Laboratory Federal Credit Union

  • White Papers // Feb 2010

    Using Cloud Constructs and Predictive Analysis to Enable Pre-Failure Process Migration in HPC Systems

    Commercial cloud offerings rely heavily on virtualization technologies and redundancy to provide reliable customized compute environments tailored to a specific customer needs. These environments are well suited to software development work, web hosting, and even some embarrassingly parallel types of applications that have traditionally been run on High Performance Compute...

    Provided By Sandia Laboratory Federal Credit Union

  • White Papers // Sep 2012

    A State-Machine Approach to Disambiguating Supercomputer Event Logs

    Supercomputer components are inherently stateful and interdependent, so accurate assessment of an event on one component often requires knowledge of previous events on that component or others. Administrators who daily monitor and interact with the system generally possess sufficient operational context to accurately interpret events, but researchers with only historical...

    Provided By Sandia Laboratory Federal Credit Union

  • White Papers // Feb 2010

    Using Cloud Constructs and Predictive Analysis to Enable Pre-Failure Process Migration in HPC Systems

    Commercial cloud offerings rely heavily on virtualization technologies and redundancy to provide reliable customized compute environments tailored to a specific customer needs. These environments are well suited to software development work, web hosting, and even some embarrassingly parallel types of applications that have traditionally been run on High Performance Compute...

    Provided By Sandia Laboratory Federal Credit Union

  • White Papers // Jan 2014

    High Performance Descriptive Semantic Analysis of Semantic Graph Databases

    As Semantic Graph DataBase (SGDB) technology grows to address components ranging from extant large triple stores to SPARQL endpoints over SQL-structured relational databases, it will become increasingly important to be able to understand their inherent semantic structure, whether codified in explicit ontology or not, for tasks ranging from analysis, interpretation,...

    Provided By Sandia Laboratory Federal Credit Union