COMP Superscalar (COMPSs)
COMPSs LogoDescription
You may find more details about COMPSs in its website.
Publications
A survey on the Distributed Computing stack
In this paper, we review the background and the state of the art of the Distributed Computing software stack. We aim to provide the …
The impact of non-additive genetic associations on age-related complex diseases
Genome-wide association studies (GWAS) are not fully comprehensive, as current strategies typically test only the additive model, …
Enabling the execution of large scale workflows for molecular dynamics simulations
The usage of workflows has led to progress in many fields of science, where the need to process large amounts of data is coupled with …
PhD Thesis: Programming Models to support Data Science workflows
In the recent joint venture between High-Performance Computing (HPC) and Big-Data (BD) Ecosystems towards the Exascale Computing, the …
A Programming Model for Hybrid Workflows: combining Task-based Workflows and Dataflows all-in-one
In the past years, e-Science applications have evolved from large-scale simulations executed in a single cluster to more complex …
The impact of non-additive genetic associations on age-related complex diseases
Genome-wide association studies (GWAS) are not fully comprehensive as current strategies typically test only the additive model, …
AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python
The last improvements in programming languages and models have focused on simplicity and abstraction; leading Python to the top of the …
AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests
The last improvements in programming languages, programming models, and frameworks have focused on abstracting the users from many …
Boosting Atmospheric Dust Forecast with PyCOMPSs
This paper describes the success story of the adaptation of the NMMB-MONARCH online multi-scale atmospheric dust model to PyCOMPSs in …
Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs
Python is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an …
Transparent Orchestration of Task-based Parallel Applications in Containers Platforms
This paper presents a framework to easily build and execute parallel applications in container-based distributed computing platforms in …
Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs
Python has been adopted as programming language by a large number of scientific communities. Additionally to the easy programming …
Master Thesis: Enabling Analytic and HPC Workflows with COMPSs
In the recent joint venture between High-Performance Computing (HPC) and Big-Data (BD) Ecosystems towards the Exascale Computing, the …
Transparent Execution of Task-Based Parallel Applications in Docker with COMP Superscalar
This paper presents a framework to easily build and execute parallel applications in container-based distributed computing platforms in …
COMP Superscalar, an interoperable programming framework
COMPSs is a programming framework that aims to facilitate the parallelization of existing applications written in Java, C/C++ and …
