Summary: Bioinformaticians are tackling increasingly computation-intensive tasks. In the meantime, workstations are shifting towards multi-core architectures and even massively multi-core may be the norm soon. Bag-of-Tasks (BoT) applications are commonly encountered in bioinformatics. They consist of a large number of independent computation-intensive tasks. This note introduces PAR, a scalable, dynamic, parallel and distributed execution engine for Bag-of-Tasks. PAR is aimed at multi-core architectures and small clusters. Accelerations obtained thanks to PAR on two different applications are shown. Availability: PAR is released under the GNU General Public License version three and can be freely downloade
This monograph presents examples of best practices when combining bioinspired algorithms with parall...
It has become common knowledge that parallel programming is needed for scientific applications, part...
Genomic data analysis in evolutionary biology is becoming so computationally intensive that analysis...
Bioinformaticians are tackling increasingly computation-intensive tasks. In the meantime, workstatio...
Summary: Bioinformaticians are tackling increasingly computation-intensive tasks. In the meantime, w...
This document surveys the computational strategies followed to parallelize the most used software in...
Many computations in biomedical research such as simulations, bootstrapping, database searches (such...
Bag-of-Tasks (BoT) applications are parallel applications composed of independent (i.e., embarrassin...
One of the biggest challenges in the programming of scientific application is the efficient exploita...
The bioinformatics research area is now faced with an obstacle of ever-increasing biological data to...
Certain bioinformatics research, such as sequence alignment, alternative splicing, protein function/...
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
ParGRES is a middleware aimed to efficiently process heavy weight queries, typical of OLAP, on top o...
MOTIVATION: Due to the steadily growing computational demands in bioinformatics and related scientif...
A Genome Wide Association Study (GWAS) is an important bioinformatics method to associate variants w...
This monograph presents examples of best practices when combining bioinspired algorithms with parall...
It has become common knowledge that parallel programming is needed for scientific applications, part...
Genomic data analysis in evolutionary biology is becoming so computationally intensive that analysis...
Bioinformaticians are tackling increasingly computation-intensive tasks. In the meantime, workstatio...
Summary: Bioinformaticians are tackling increasingly computation-intensive tasks. In the meantime, w...
This document surveys the computational strategies followed to parallelize the most used software in...
Many computations in biomedical research such as simulations, bootstrapping, database searches (such...
Bag-of-Tasks (BoT) applications are parallel applications composed of independent (i.e., embarrassin...
One of the biggest challenges in the programming of scientific application is the efficient exploita...
The bioinformatics research area is now faced with an obstacle of ever-increasing biological data to...
Certain bioinformatics research, such as sequence alignment, alternative splicing, protein function/...
Abstract — In recent years our society has witnessed an unprecedented growth in computing power avai...
ParGRES is a middleware aimed to efficiently process heavy weight queries, typical of OLAP, on top o...
MOTIVATION: Due to the steadily growing computational demands in bioinformatics and related scientif...
A Genome Wide Association Study (GWAS) is an important bioinformatics method to associate variants w...
This monograph presents examples of best practices when combining bioinspired algorithms with parall...
It has become common knowledge that parallel programming is needed for scientific applications, part...
Genomic data analysis in evolutionary biology is becoming so computationally intensive that analysis...