This work presents two software components aimed to relieve the costs of accessing high-performance parallel computing resources within a Python programming environment: MPI for Python and PETSc for Python. MPI for Python is a general-purpose Python package that provides bindings for the Message Passing Interface (MPI) standard using any back-end MPI implementation. Its facilities allow parallel Python programs to easily exploit multiple processors using the message passing paradigm. PETSc for Python provides access to the Portable, Extensible Toolkit for Scientific Computation (PETSc) libraries. Its facilities allow sequential and parallel Python applications to exploit state of the art algorithms and data structures readily available in ...
Abstract—Computational scientists seek to provide efficient, easy-to-use tools and frameworks that e...
This manual describes the use of PETSc 2.0 for the numerical solution of partial differential equati...
MPI4Py provides open source Python bindings to most of the functionality of MPI-1/2/3 specifications...
This work reports our attempts to facilitate the access to high-performance parallel computing resou...
High performance computing becomes more important in many areas by provide fast, reliable and cost...
With diminishing gains in processing power from successive generations of hardware development, ther...
The Python programming language has gradually gained popularity in the field of scientific computing...
Python has been adopted as programming language by a large number of scientific communities. Additio...
MPI for Python provides bindings of the message passing interface (MPI) standard for the Python prog...
Python is increasingly used in high-performance computing projects. It can be used either as a high-...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
The Portable, Extensible Toolkit for Scientific computation (PETSc) is a toolbox for the parallel, n...
MPI for Python provides bindings of the Message Passing Interface (MPI) standard for the Python prog...
Python is an accepted high-level scripting language with a growing community in academia and industr...
Would you like to obtain the best performance from your Python codes and get good scalability even i...
Abstract—Computational scientists seek to provide efficient, easy-to-use tools and frameworks that e...
This manual describes the use of PETSc 2.0 for the numerical solution of partial differential equati...
MPI4Py provides open source Python bindings to most of the functionality of MPI-1/2/3 specifications...
This work reports our attempts to facilitate the access to high-performance parallel computing resou...
High performance computing becomes more important in many areas by provide fast, reliable and cost...
With diminishing gains in processing power from successive generations of hardware development, ther...
The Python programming language has gradually gained popularity in the field of scientific computing...
Python has been adopted as programming language by a large number of scientific communities. Additio...
MPI for Python provides bindings of the message passing interface (MPI) standard for the Python prog...
Python is increasingly used in high-performance computing projects. It can be used either as a high-...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
The Portable, Extensible Toolkit for Scientific computation (PETSc) is a toolbox for the parallel, n...
MPI for Python provides bindings of the Message Passing Interface (MPI) standard for the Python prog...
Python is an accepted high-level scripting language with a growing community in academia and industr...
Would you like to obtain the best performance from your Python codes and get good scalability even i...
Abstract—Computational scientists seek to provide efficient, easy-to-use tools and frameworks that e...
This manual describes the use of PETSc 2.0 for the numerical solution of partial differential equati...
MPI4Py provides open source Python bindings to most of the functionality of MPI-1/2/3 specifications...