… and Python are open source alternatives to MATLAB, which is widely used by the High
Performance … The new emphasis of high end computing systems is rapidly evolving towards …

… choices, Python still struggles: while each approach works towards one or more of the Ps,
none of them supports all at the same time. We propose a way to bridge the gap between the …

… On the one hand, high performance computing (HPC) … a task-based programming model for
Python, as an excellent solution … Towards this, we compare the PyCOMPSs implementations …

… in Python. The objective of this review article is to provide an organized landscape of Python
high-performance … of communications in the context of high-performance computing [69], or …

… to enable the usage in specialized high-performance modules. This approach matches with
… Although primarily geared towards weak scaling, it turns out that d2o performs very well in …

… ie, multi-dimensional data) as Python datacube objects and HPDA operators as Python
datacube methods. The cube objects store the metadata and a reference towards the actual data …

… , and usability when using Python for developing high-performance computing codes running
… Our findings showed that the impact of using Python is negligible for our applications, and …

… In the collision step, we relax the probability density function towards the equilibrium f … In
this chapter, we describe how the LBM is implemented in Python and how to compute the LBM …

… During the last decade, high-performance computing has become an affordable resource
to … Future work will be directed towards the improvement of MPI for Python by adding some …

… At the same time, Python has become one of the most popular … for Python do not scale to
large data sets, are hard to use by non-experts, and are difficult to set up in high performance …