Parallel programming can be extremely challenging. Programming models have been proposed to simplify this task, but wide acceptance of these remains elusive for many reasons, including the demand for greater accessibility and productivity. In this paper, we introduce a parallel programming model and framework called CharmPy, based on the Python language. CharmPy builds on Charm++, and runs on top of its C++ runtime. It presents several unique features in the form of a simplified model and API, increased flexibility, and the ability to write everything in Python. CharmPy is a high-level model based on the paradigm of distributed migratable objects
Interpreted languages are ideal both for building control and administration tools as well as for pr...
Python Parallel Programming Cookbook, Second Edition, covers recipes that will help you how to build...
Python is increasingly used in high-performance computing projects. It can be used either as a high-...
The use of the Python programming language for scientific computing has been gaining momentum in the...
Modern open source high-level languages such as R and Python are.increasingly playing an important r...
With diminishing gains in processing power from successive generations of hardware development, ther...
High performance computing becomes more important in many areas by provide fast, reliable and cost...
Abstract—MPI and Charm++ embody two distinct per-spectives for writing parallel programs. While MPI ...
Abstract—The advent of petascale computing has introduced new challenges (e.g. heterogeneity, system...
International audienceThe last improvements in programming languages, programming models, and framew...
Abstract. High-performance and parallel computations have always rep-resented a challenge in terms o...
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...
Today’s hardware is increasingly parallel, and modern programming languages must thus allow a progr...
Scientists are trending towards usage of high-level programming languages such as Python. The conven...
Interpreted languages are ideal both for building control and administration tools as well as for pr...
Python Parallel Programming Cookbook, Second Edition, covers recipes that will help you how to build...
Python is increasingly used in high-performance computing projects. It can be used either as a high-...
The use of the Python programming language for scientific computing has been gaining momentum in the...
Modern open source high-level languages such as R and Python are.increasingly playing an important r...
With diminishing gains in processing power from successive generations of hardware development, ther...
High performance computing becomes more important in many areas by provide fast, reliable and cost...
Abstract—MPI and Charm++ embody two distinct per-spectives for writing parallel programs. While MPI ...
Abstract—The advent of petascale computing has introduced new challenges (e.g. heterogeneity, system...
International audienceThe last improvements in programming languages, programming models, and framew...
Abstract. High-performance and parallel computations have always rep-resented a challenge in terms o...
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...
Today’s hardware is increasingly parallel, and modern programming languages must thus allow a progr...
Scientists are trending towards usage of high-level programming languages such as Python. The conven...
Interpreted languages are ideal both for building control and administration tools as well as for pr...
Python Parallel Programming Cookbook, Second Edition, covers recipes that will help you how to build...
Python is increasingly used in high-performance computing projects. It can be used either as a high-...