BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121111T160000Z
DTEND:20121112T003000Z
LOCATION:155-C
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Emerging requirements from HPC applications offer new opportunities for engagement between the database and HPC communities: higher level programming models, combined platforms for simulation, analysis, and visualization, ad hoc interactive query, and petascale data processing.  Exascale HPC platforms will share characteristics with large-scale data processing platforms: relatively small main memory per node, relatively slow communication between nodes, and IO a limiting factor. Relevant database techniques in this setting include a rigorous data model, cost-based optimization, declarative query languages, logical and physical data independence  have been applied to new data types (trees, streams, graphs, arrays), new applications (financial markets, image analysis, DNA sequence analysis, social networks) and new platforms (sensor networks, embedded systems, GPGPUs, shared-nothing commodity clusters, cloud platforms).  But these techniques have only been minimally explored in the high-performance computing community.  In this workshop, we invite position papers that explore the design space between the two communities.
SUMMARY:HPCDB 2012 - High-Performance Computing Meets Databases
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121111T160000Z
DTEND:20121112T003000Z
LOCATION:155-C
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Emerging requirements from HPC applications offer new opportunities for engagement between the database and HPC communities: higher level programming models, combined platforms for simulation, analysis, and visualization, ad hoc interactive query, and petascale data processing.  Exascale HPC platforms will share characteristics with large-scale data processing platforms: relatively small main memory per node, relatively slow communication between nodes, and IO a limiting factor. Relevant database techniques in this setting include a rigorous data model, cost-based optimization, declarative query languages, logical and physical data independence  have been applied to new data types (trees, streams, graphs, arrays), new applications (financial markets, image analysis, DNA sequence analysis, social networks) and new platforms (sensor networks, embedded systems, GPGPUs, shared-nothing commodity clusters, cloud platforms).  But these techniques have only been minimally explored in the high-performance computing community.  In this workshop, we invite position papers that explore the design space between the two communities.
SUMMARY:HPCDB 2012 - High-Performance Computing Meets Databases
PRIORITY:3
END:VEVENT
END:VCALENDAR