BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121111T153000Z
DTEND:20121112T000000Z
LOCATION:355-C
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The current trend in the supercomputing industry is towards hybrid systems with accelerators attached to multi-core processors. The current Top500 list has more than 50 systems with GPUs; ORNL and NCSA have plans to deploy large-scale hybrid systems by the end of 2012. The dominant programming models for accelerator-based systems (CUDA and OpenCL) offer the power to extract performance from accelerators, but with extreme costs in usability, maintenance, development, and portability. To be an effective HPC platform, these systems need a high-level software development environment to enable widespread porting and development of applications that run efficiently on either accelerators or CPUs. In this hands-on tutorial we present the high-level OpenACC parallel programming model for accelerator-based systems, demonstrating compilers, libraries, and tools that support this cross-vendor initiative. Using personal experience in porting large-scale HPC applications, we provide development guidance, practical tricks, and tips to enable effective and efficient use of these hybrid systems.
SUMMARY:Productive, Portable Performance on Accelerators Using OpenACC Compilers and Tools
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121111T153000Z
DTEND:20121112T000000Z
LOCATION:355-C
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The current trend in the supercomputing industry is towards hybrid systems with accelerators attached to multi-core processors. The current Top500 list has more than 50 systems with GPUs; ORNL and NCSA have plans to deploy large-scale hybrid systems by the end of 2012. The dominant programming models for accelerator-based systems (CUDA and OpenCL) offer the power to extract performance from accelerators, but with extreme costs in usability, maintenance, development, and portability. To be an effective HPC platform, these systems need a high-level software development environment to enable widespread porting and development of applications that run efficiently on either accelerators or CPUs. In this hands-on tutorial we present the high-level OpenACC parallel programming model for accelerator-based systems, demonstrating compilers, libraries, and tools that support this cross-vendor initiative. Using personal experience in porting large-scale HPC applications, we provide development guidance, practical tricks, and tips to enable effective and efficient use of these hybrid systems.
SUMMARY:Productive, Portable Performance on Accelerators Using OpenACC Compilers and Tools
PRIORITY:3
END:VEVENT
END:VCALENDAR