Publication

Parallelization of the LEMan Code with MPI and OpenMP

Wilfred Anthony Cooper, Nicolas Mellet
2009
Conference Papers

Abstract

The low-frequency wave propagation code LEMan has been parallelized. Due to large memory requirement but fast computation with the cold model, the parallelization is limited to a low number of processors. The specific block-tridiagonal structure of the matrix to be solved has been taken into account for the MPI implementation. It has then been compared with the performance of OpenMP in order to determine the optimal method depending on the case studied.

Official source

https://infoscience.epfl.ch/entities/publication/f2f46b45-be48-4a06-905a-adf7720105d9

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Wilfred Anthony Cooper, Nicolas Mellet
2009
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/f2f46b45-be48-4a06-905a-adf7720105d9

About this result

Related concepts (9)

Computer memory

Computer memory stores information, such as data and programs for immediate use in the computer. The term memory is often synonymous with the term primary storage or main memory. An archaic synonym for memory is store. Computer memory operates at a high speed compared to storage which is slower but less expensive and higher in capacity. Besides storing opened programs, computer memory serves as disk cache and write buffer to improve both reading and writing performance.

Memory management

Memory management is a form of resource management applied to computer memory. The essential requirement of memory management is to provide ways to dynamically allocate portions of memory to programs at their request, and free it for reuse when no longer needed. This is critical to any advanced computer system where more than a single process might be underway at any time. Several methods have been devised that increase the effectiveness of memory management.

Computational complexity

In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus is given to computation time (generally measured by the number of needed elementary operations) and memory storage requirements. The complexity of a problem is the complexity of the best algorithms that allow solving the problem. The study of the complexity of explicitly given algorithms is called analysis of algorithms, while the study of the complexity of problems is called computational complexity theory.

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