Dask: Parallel Computation with Blocked algorithms and Task Scheduling
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[1] Travis E. Oliphant,et al. Python for Scientific Computing , 2007, Computing in Science & Engineering.
[2] Yuan Yu,et al. Dryad: distributed data-parallel programs from sequential building blocks , 2007, EuroSys '07.
[3] Julien Langou,et al. A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures , 2007, Parallel Comput..
[4] Jack Dongarra,et al. Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects , 2009 .
[5] Razvan Pascanu,et al. Theano: A CPU and GPU Math Compiler in Python , 2010, SciPy.
[6] Scott Shenker,et al. Spark: Cluster Computing with Working Sets , 2010, HotCloud.
[7] Wes McKinney,et al. Data Structures for Statistical Computing in Python , 2010, SciPy.
[8] Gaël Varoquaux,et al. The NumPy Array: A Structure for Efficient Numerical Computation , 2011, Computing in Science & Engineering.
[9] Thomas Hérault,et al. DAGuE: A Generic Distributed DAG Engine for High Performance Computing , 2011, 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum.
[10] Robert A. van de Geijn,et al. Elemental: A New Framework for Distributed Memory Dense Matrix Computations , 2013, TOMS.
[11] Russell Power. Abstractions for In-memory Distributed Computation , 2014 .
[12] Guillermo Sapiro,et al. Compressed Nonnegative Matrix Factorization Is Fast and Accurate , 2015, IEEE Transactions on Signal Processing.