Matrix-vector multiplication and triangular linear solver using GPGPU for symmetric positive definite matrices derived from elliptic equations (2012)
- Authors:
- USP affiliated authors: MARTINS, THIAGO DE CASTRO - EP ; TSUZUKI, MARCOS DE SALES GUERRA - EP
- Unidade: EP
- DOI: 10.1109/SCIS-ISIS.2012.6505077
- Subjects: SISTEMAS LINEARES; ARQUITETURAS PARALELAS; ALGORITMOS
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Joint International Conference on Soft Computing and Intelligent Systems
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MARTINS, Thiago de Castro et al. Matrix-vector multiplication and triangular linear solver using GPGPU for symmetric positive definite matrices derived from elliptic equations. 2012, Anais.. S.l: Ieee, 2012. Disponível em: https://doi.org/10.1109/SCIS-ISIS.2012.6505077. Acesso em: 30 dez. 2025. -
APA
Martins, T. de C., Kian, J. de M., Sato, A. K., & Tsuzuki, M. de S. G. (2012). Matrix-vector multiplication and triangular linear solver using GPGPU for symmetric positive definite matrices derived from elliptic equations. In Proceedings. S.l: Ieee. doi:10.1109/SCIS-ISIS.2012.6505077 -
NLM
Martins T de C, Kian J de M, Sato AK, Tsuzuki M de SG. Matrix-vector multiplication and triangular linear solver using GPGPU for symmetric positive definite matrices derived from elliptic equations [Internet]. Proceedings. 2012 ;[citado 2025 dez. 30 ] Available from: https://doi.org/10.1109/SCIS-ISIS.2012.6505077 -
Vancouver
Martins T de C, Kian J de M, Sato AK, Tsuzuki M de SG. Matrix-vector multiplication and triangular linear solver using GPGPU for symmetric positive definite matrices derived from elliptic equations [Internet]. Proceedings. 2012 ;[citado 2025 dez. 30 ] Available from: https://doi.org/10.1109/SCIS-ISIS.2012.6505077 - Structural design with self-weight and inertial loading using simulated annealing for non-gradient topology optimization
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Informações sobre o DOI: 10.1109/SCIS-ISIS.2012.6505077 (Fonte: oaDOI API)
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