SCHEDULE: NOV 10-16, 2012
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Legion - Expressing Locality and Independence with Logical Regions
SESSION: Locality in Programming Models and Runtimes
EVENT TYPE: Papers
TIME: 4:00PM - 4:30PM
SESSION CHAIR: Milind Kulkarni
AUTHOR(S):Michael Bauer, Sean Treichler, Elliott Slaughter, Alex Aiken
ROOM:255-EF
ABSTRACT:
Modern parallel architectures have both heterogeneous processors and deep, complex memory hierarchies. We present Legion, a programming model and runtime system for achieving high performance on these machines. Legion is organized around logical regions, which express both locality and independence of program data, and tasks that perform computations on regions. We describe a runtime system that dynamically extracts parallelism from Legion programs using a distributed, parallel scheduling algorithm that identifies both independent tasks and nested parallelism. Legion also enables explicit, programmer controlled movement of data through the memory hierarchy and placement of tasks based on locality information via a novel mapping interface. We evaluate our Legion implementation on three applications: fluid-flow on a regular grid, a three-level AMR code solving a heat diffusion equation, and a circuit simulation.
Chair/Author Details:
Milind Kulkarni (Chair) - Purdue University
Michael Bauer - Stanford University
Sean Treichler - Stanford University
Elliott Slaughter - Stanford University
Alex Aiken - Stanford University
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Legion - Expressing Locality and Independence with Logical Regions
SESSION: Locality in Programming Models and Runtimes
EVENT TYPE:
TIME: 4:00PM - 4:30PM
SESSION CHAIR: Milind Kulkarni
AUTHOR(S):Michael Bauer, Sean Treichler, Elliott Slaughter, Alex Aiken
ROOM:255-EF
ABSTRACT:
Modern parallel architectures have both heterogeneous processors and deep, complex memory hierarchies. We present Legion, a programming model and runtime system for achieving high performance on these machines. Legion is organized around logical regions, which express both locality and independence of program data, and tasks that perform computations on regions. We describe a runtime system that dynamically extracts parallelism from Legion programs using a distributed, parallel scheduling algorithm that identifies both independent tasks and nested parallelism. Legion also enables explicit, programmer controlled movement of data through the memory hierarchy and placement of tasks based on locality information via a novel mapping interface. We evaluate our Legion implementation on three applications: fluid-flow on a regular grid, a three-level AMR code solving a heat diffusion equation, and a circuit simulation.
Chair/Author Details:
Milind Kulkarni (Chair) - Purdue University
Michael Bauer - Stanford University
Sean Treichler - Stanford University
Elliott Slaughter - Stanford University
Alex Aiken - Stanford University
Click here to download .ics calendar file