Add to ORKGPython is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an interpreted language. The adoption from multiple scientific communities has evolved in the emergence of a large number of libraries and modules, which has helped to put Python on the top of the list of the programming languages [1]. Task-based programming has been proposed in the recent years as an alternative parallel programming model. PyCOMPSs follows such approach for Python, and this paper presents its extensions to combine task-based parallelism and thread-level parallelism. Also, we present how PyCOMPSs has been adapted to support heterogeneous architectures, including Xeon Phi and GPUs. Results obtaine...
Writing high-performance programs to target heterogeneous compute nodes poses many challenges associ...
Today’s hardware is increasingly parallel, and modern programming languages must thus allow a progr...
Task-based parallelism has been established as one of the main forms of code parallelization, where ...
Python is a popular programming language due to the simplicity of its syntax, while still achieving ...
Python has been adopted as programming language by a large number of scientific communities. Additio...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
The use of the Python programming language for scientific computing has been gaining momentum in the...
Would you like to obtain the best performance from your Python codes and get good scalability even i...
Python is increasingly used in high-performance computing projects. It can be used either as a high-...
Our society is generating an increasing amount of data at an unprecedented scale, variety, and speed...
Developing efficient parallel implementations and fully utilizing the available resources of paralle...
While MPI [1] + X (where X is another parallel programming model) has been proposed and used by the...
Machine Learning applications now span across multiple domains due to the increase in computational ...
The economic impact that proprietary ISA has on the market increased the interest in using Open Sour...
We present two computing projects, peridynamics simulation and numerical integration on implicit dom...
Writing high-performance programs to target heterogeneous compute nodes poses many challenges associ...
Today’s hardware is increasingly parallel, and modern programming languages must thus allow a progr...
Task-based parallelism has been established as one of the main forms of code parallelization, where ...
Python is a popular programming language due to the simplicity of its syntax, while still achieving ...
Python has been adopted as programming language by a large number of scientific communities. Additio...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
The use of the Python programming language for scientific computing has been gaining momentum in the...
Would you like to obtain the best performance from your Python codes and get good scalability even i...
Python is increasingly used in high-performance computing projects. It can be used either as a high-...
Our society is generating an increasing amount of data at an unprecedented scale, variety, and speed...
Developing efficient parallel implementations and fully utilizing the available resources of paralle...
While MPI [1] + X (where X is another parallel programming model) has been proposed and used by the...
Machine Learning applications now span across multiple domains due to the increase in computational ...
The economic impact that proprietary ISA has on the market increased the interest in using Open Sour...
We present two computing projects, peridynamics simulation and numerical integration on implicit dom...
Writing high-performance programs to target heterogeneous compute nodes poses many challenges associ...
Today’s hardware is increasingly parallel, and modern programming languages must thus allow a progr...
Task-based parallelism has been established as one of the main forms of code parallelization, where ...