SCHEDULE: NOV 10-16, 2012
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Bamboo - Translating MPI Applications to a Latency-Tolerant, Data-Driven Form
SESSION: Compiler-Based Analysis and Optimization
EVENT TYPE: Papers
TIME: 10:30AM - 11:00AM
SESSION CHAIR: Xipeng Shen
AUTHOR(S):Tan Nguyen, Pietro Cicotti, Eric Bylaska, Dan Quinlan, Scott Baden
ROOM:255-EF
ABSTRACT:
We present Bamboo, a custom source-to-source
translator that transforms MPI C source into a data-driven
form that automatically overlaps communication with available
computation. Running on up to 98304 processors of NERSCs
Hopper system, we observe that Bamboos overlap capability
speeds up MPI implementations of a 3D Jacobi iterative solver
and Cannons matrix multiplication. Bamboos generated code
meets or exceeds the performance of hand optimized MPI, which
includes split-phase coding, the method classically employed
to hide communication. We achieved our results with only
modest amounts of programmer annotation and no intrusive
reprogramming of the original application source.
Chair/Author Details:
Xipeng Shen (Chair) - College of William and Mary
Tan Nguyen - University of California, San Diego
Pietro Cicotti - University of California, San Diego
Eric Bylaska - Pacific Northwest National Laboratory
Dan Quinlan - Lawrence Livermore National Laboratory
Scott Baden - University of California, San Diego
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Bamboo - Translating MPI Applications to a Latency-Tolerant, Data-Driven Form
SESSION: Compiler-Based Analysis and Optimization
EVENT TYPE:
TIME: 10:30AM - 11:00AM
SESSION CHAIR: Xipeng Shen
AUTHOR(S):Tan Nguyen, Pietro Cicotti, Eric Bylaska, Dan Quinlan, Scott Baden
ROOM:255-EF
ABSTRACT:
We present Bamboo, a custom source-to-source
translator that transforms MPI C source into a data-driven
form that automatically overlaps communication with available
computation. Running on up to 98304 processors of NERSCs
Hopper system, we observe that Bamboos overlap capability
speeds up MPI implementations of a 3D Jacobi iterative solver
and Cannons matrix multiplication. Bamboos generated code
meets or exceeds the performance of hand optimized MPI, which
includes split-phase coding, the method classically employed
to hide communication. We achieved our results with only
modest amounts of programmer annotation and no intrusive
reprogramming of the original application source.
Chair/Author Details:
Xipeng Shen (Chair) - College of William and Mary
Tan Nguyen - University of California, San Diego
Pietro Cicotti - University of California, San Diego
Eric Bylaska - Pacific Northwest National Laboratory
Dan Quinlan - Lawrence Livermore National Laboratory
Scott Baden - University of California, San Diego
Click here to download .ics calendar file