Communication-Avoiding Parallel Algorithms for Solving Triangular Systems of Linear Equations
Tobias Wicky, Edgar Solomonik, Torsten Hoefler

TL;DR
This paper introduces a communication-avoiding parallel algorithm for solving triangular systems with multiple right-hand sides, improving scalability and efficiency by selectively inverting triangular blocks and analyzing communication costs.
Contribution
The authors develop a novel parallel TRSM algorithm that enhances scalability and reduces communication, using selective triangular matrix inversion and detailed cost analysis.
Findings
Achieves better theoretical scalability than existing algorithms.
Maintains numerical stability through selective inversion.
Requires fewer messages and optimizes communication in parallel settings.
Abstract
We present a new parallel algorithm for solving triangular systems with multiple right hand sides (TRSM). TRSM is used extensively in numerical linear algebra computations, both to solve triangular linear systems of equations as well as to compute factorizations with triangular matrices, such as Cholesky, LU, and QR. Our algorithm achieves better theoretical scalability than known alternatives, while maintaining numerical stability, via selective use of triangular matrix inversion. We leverage the fact that triangular inversion and matrix multiplication are more parallelizable than the standard TRSM algorithm. By only inverting triangular blocks along the diagonal of the initial matrix, we generalize the usual way of TRSM computation and the full matrix inversion approach. This flexibility leads to an efficient algorithm for any ratio of the number of right hand sides to the triangular…
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Taxonomy
TopicsMatrix Theory and Algorithms · Parallel Computing and Optimization Techniques · Polynomial and algebraic computation
