CUDA  Acceleration for BoomerAMG Implementation

• About
• Design
• Implementation Details
• Schedule
• Project Proposal
• Intermediate Report
• Final Report
• Performace Results
• Source code
• References

References

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[1] Van Emden Henson and Ulrike Meier Yang, "BoomerAMG: A Parallel Algebraic Multigrid Solver and Preconditioner", Appl. Num. Math. 41 (2002), pp. 155-177. Also available as LLNL technical report UCRL-JC-141495

[2] Hans De Sterck, Ulrike Meier Yang and Jeffrey Heys, "Reducing Complexity in Parallel Algebraic Multigrid Preconditioners", SIAM Journal on Matrix Analysis and Applications 27 (2006), pp. 1019-1039. Also available as LLNL technical reports UCRL-JRNL-206780

[3] Hans De Sterck, Robert D. Falgout, Josh W. Nolting and Ulrike Meier Yang, "Distance-Two Interpolation for Parallel Algebraic Multigrid", Numerical Linear Algebra with Applications 15 (2008), pp. 115-139. Also available as LLNL technical report UCRL-JRNL-230844

[4] Hypre library (http://acts.nersc.gov/hypre/)

[5] ASC Sequoia benchmark (https://asc.llnl.gov/sequoia/benchmarks/#amg)

[6] Dominik Goddeke and Robert Strzodka and Jamaludin Mohd-Yusof and Patrick McCormick and Hilmar Wobker and Christian Becker and Stefan Turek, “Using GPUs to Improve Multigrid Solver Performance on a Cluster”, International Journal of Computational Science and Engineering (IJCSE)(2008), pp36-55 v4.