The use of the Python programming language for scientific computing has been gaining momentum in the last years. The fact that it is compact and readable and its complete set of scientific libraries are two important characteristics that favour its adoption. Nevertheless, Python still lacks a solution for easily parallelizing generic scripts on distributed infrastructures, since the current alternatives mostly require the use of APIs for message passing or are restricted to embarrassingly parallel computations. In that sense, this paper presents PyCOMPSs, a framework that facilitates the development of parallel computational workflows in Python. In this approach, the user programs her script in a sequential fashion and decorates the functio...
Despite advancements in the areas of parallel and distributed computing, the complexity of programmi...
Developing efficient parallel implementations and fully utilizing the available resources of paralle...
High performance computing has been used in various fields of astrophysical research. But most of it...
The use of the Python programming language for scientific computing has been gaining momentum in the...
Python has been adopted as programming language by a large number of scientific communities. Additio...
This paper presents dispel4py, a new Python framework for describing abstract stream-based workflows...
Python is a popular programming language due to the simplicity of its syntax, while still achieving ...
This paper presents dispel4py, a new Python framework for describing abstract stream-based workflows...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
We present dispel4py, a novel data intensive and high performance computing middleware provided as a...
Our society is generating an increasing amount of data at an unprecedented scale, variety, and speed...
Developing complex biomolecular workflows is not always straightforward. It requires tedious develop...
Modern open source high-level languages such as R and Python are.increasingly playing an important r...
Parallel programming can be extremely challenging. Programming models have been proposed to simplify...
Today’s hardware is increasingly parallel, and modern programming languages must thus allow a progr...
Despite advancements in the areas of parallel and distributed computing, the complexity of programmi...
Developing efficient parallel implementations and fully utilizing the available resources of paralle...
High performance computing has been used in various fields of astrophysical research. But most of it...
The use of the Python programming language for scientific computing has been gaining momentum in the...
Python has been adopted as programming language by a large number of scientific communities. Additio...
This paper presents dispel4py, a new Python framework for describing abstract stream-based workflows...
Python is a popular programming language due to the simplicity of its syntax, while still achieving ...
This paper presents dispel4py, a new Python framework for describing abstract stream-based workflows...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
We present dispel4py, a novel data intensive and high performance computing middleware provided as a...
Our society is generating an increasing amount of data at an unprecedented scale, variety, and speed...
Developing complex biomolecular workflows is not always straightforward. It requires tedious develop...
Modern open source high-level languages such as R and Python are.increasingly playing an important r...
Parallel programming can be extremely challenging. Programming models have been proposed to simplify...
Today’s hardware is increasingly parallel, and modern programming languages must thus allow a progr...
Despite advancements in the areas of parallel and distributed computing, the complexity of programmi...
Developing efficient parallel implementations and fully utilizing the available resources of paralle...
High performance computing has been used in various fields of astrophysical research. But most of it...