BLAS

Low-level utilities common to many mathematical software packages. Primarily the Fortran BLAS (Basic Linear Algebra Subroutines) collected together by level (1, 2 and 3) and precision (real, double, complex, double complex). Also includes specialized BLAS implementations, the PORT machine-dependent constant routines, and the MACHAR software for dynamically determining machine-dependent arithmetic properties


References in zbMATH (referenced in 427 articles )

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  1. Alonso, Pedro; Ibáñez, Javier; Sastre, Jorge; Peinado, Jesús; Defez, Emilio: Efficient and accurate algorithms for computing matrix trigonometric functions (2017)
  2. Bosner, Nela; Karlsson, Lars: Parallel and heterogeneous $m$-Hessenberg-triangular-triangular reduction (2017)
  3. Figueras, Jordi-Lluís; de la Llave, Rafael: Numerical computations and computer assisted proofs of periodic orbits of the Kuramoto-Sivashinsky equation (2017)
  4. Gentle, James E.: Matrix algebra. Theory, computations and applications in statistics (2017)
  5. Glinskiy, Boris; Kuchin, Nikolay; Kostin, Victor; Solovyev, Sergey: Parallel computations for solving 3D Helmholtz problem by using direct solver with low-rank approximation and HSS technique (2017)
  6. Gupta, Anshul: Enhancing performance and robustness of ILU preconditioners by blocking and selective transposition (2017)
  7. Harizanov, Stanislav; Lirkov, Ivan; Georgiev, Krassimir; Paprzycki, Marcin; Ganzha, Maria: Performance analysis of a parallel algorithm for restoring large-scale CT images (2017)
  8. Ji, Hao; Li, Yaohang: Block conjugate gradient algorithms for least squares problems (2017)
  9. Martinsson, Per-Gunnar; Quintana Ortí, Gregorio; Heavner, Nathan; van de Geijn, Robert: Householder QR factorization with randomization for column pivoting (HQRRP) (2017)
  10. Pichon, Gregoire; Faverge, Mathieu; Ramet, Pierre; Roman, Jean: Reordering strategy for blocking optimization in sparse linear solvers (2017)
  11. QuanSheng Wu, ShengNan Zhang, Hai-Feng Song, Matthias Troyer, Alexey A. Soluyanov: WannierTools: An open-source software package for novel topological materials (2017) arXiv
  12. Abdelfattah, A.; Anzt, H.; Dongarra, J.; Gates, M.; Haidar, A.; Kurzak, J.; Luszczek, P.; Tomov, S.; Yamazaki, I.; YarKhan, A.: Linear algebra software for large-scale accelerated multicore computing (2016)
  13. Abdelfattah, Ahmad; Keyes, David; Ltaief, Hatem: KBLAS: an optimized library for dense matrix-vector multiplication on GPU accelerators (2016)
  14. Chohra, Chemseddine; Langlois, Philippe; Parello, David: Efficiency of reproducible level 1 BLAS (2016)
  15. Einkemmer, Lukas: A resistive magnetohydrodynamics solver using modern C++ and the Boost library (2016)
  16. Hager, William W.; Zhang, Hongchao: Projection onto a polyhedron that exploits sparsity (2016)
  17. Jessup, Elizabeth; Motter, Pate; Norris, Boyana; Sood, Kanika: Performance-based numerical solver selection in the Lighthouse framework (2016)
  18. Li, Ruipeng; Xi, Yuanzhe; Saad, Yousef: Schur complement-based domain decomposition preconditioners with low-rank corrections. (2016)
  19. Low, Tze Meng; Igual, Francisco D.; Smith, Tyler M.; Quintana-Orti, Enrique S.: Analytical modeling is enough for high-performance BLIS (2016)
  20. Mossaiby, F.; Ghaderian, M.; Rossi, R.: Implementation of a generalized exponential basis functions method for linear and non-linear problems (2016)

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