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Gaussian elimination is a key algorithm for solving systems of linear equations, particularly in parallel and distributed computing, where it requires attention to data distribution, load balancing, and communication overhead. The document discusses the pipelined execution of parallel Gaussian elimination, which enhances efficiency by allowing processors to work on different steps simultaneously, and introduces 1D block partitioning and cyclic mapping techniques to optimize the process. Applications of para

Author

venkatraoboppudi95

Language

EN