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Algorithms and optimization techniques for high-performance matrix-matrix multiplications of very small matrices., , , , , , and . Parallel Computing, (2019)Automatic code generation methods applied to numerical linear algebra in high performance computing. (Méthodes de génération automatique de code appliquées à l'algèbre linéaire numérique dans le calcul haute performance).. University of Paris-Saclay, France, (2016)High-Performance Matrix-Matrix Multiplications of Very Small Matrices., , , , , , and . Euro-Par, volume 9833 of Lecture Notes in Computer Science, page 659-671. Springer, (2016)Data Layout and SIMD Abstraction Layers: Decoupling Interfaces from Implementations., , and . HPCS, page 531-538. IEEE, (2018)Metaprogramming Dense Linear Algebra Solvers Applications to Multi and Many-Core Architectures., , and . TrustCom/BigDataSE/ISPA (3), page 69-76. IEEE, (2015)978-1-4673-7952-6.Meta-programming and Multi-stage Programming for GPGPUs., , and . MCSoC, page 369-376. IEEE Computer Society, (2016)High-Performance Tensor Contractions for GPUs., , , , , , , , , and 1 other author(s). ICCS, volume 80 of Procedia Computer Science, page 108-118. Elsevier, (2016)