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OpenBLAS

In scientific computing, OpenBLAS is an open source implementation of the BLAS (Basic Linear Algebra Subprograms) API with many hand-crafted… 
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Papers overview

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2019
2019
Many emerging applications based on technologies like machine learning or cryptography mandate increased numerical computations… 
2019
2019
On the one hand, Deep Neural Networks have emerged as a powerful tool for solving complex problems in image and text analysis. On… 
2017
2017
Parallelization of generalized matrix-matrix multiplication is crucial for achieving high performance required in many situations… 
2016
2016
High performance dense linear algebra (DLA) libraries often rely on a general matrix multiply (Gemm) kernel that is implemented… 
2016
2016
Le groupe de recherche Instabilites et Methodes Numeriques Specifiques mene ses activites dans le developpement d’outils… 
2015
2015
Recent system on chip (SoC) techniques have permitted the continued scaling of core densities at a rate sufficient to track Moore… 
2015
2015
A deep belief network (DBN) is an important branch of deep learning models and has been successfully applied in many machine… 
2013
2013
The BLAS Libray Instantiation Software (BLIS) is a new framework for the rapid instantiation of Basic Linear Algebra Subprograms…