arXiv Open Access 2019

Equal bi-Vectorized (EBV) method to high performance on GPU

Amirreza Hashemi Mohsen Lahooti Ebrahim Shirani

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Abstrak

Due to importance of reducing of time solution in numerical codes, we propose an algorithm for parallel LU decomposition solver for dense and sparse matrices on GPU. This algorithm is based on first bi-vectorizing a triangular matrices of decomposed coefficient matrix and then equalizing vectors. So we improve performance of LU decomposition on equal contributed scheme on threads. This algorithm also is convenient for other parallelism method and multi devices. Several test cases show advantage of this method over other familiar method.

Topik & Kata Kunci

cs.DC

Penulis (3)

Amirreza Hashemi

Mohsen Lahooti

Ebrahim Shirani

Format Sitasi

APA MLA BibTeX

Hashemi, A., Lahooti, M., Shirani, E. (2019). Equal bi-Vectorized (EBV) method to high performance on GPU. https://arxiv.org/abs/1907.05767

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Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓