Add to ORKGA DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is presented. Achievable speedup, scalability, and overhead introduced by communications are discussed, and the impact of the Grid middleware on the performance obtained with clusters is detailed. The experimental work carried out with homogeneous and heterogeneous clusters is presented, along with a comparison of the results obtained when migrating the algorithms to a GRID. Finally, current lines of work related to the study of models and paradigms for the resolution of parallel algorithms on GRID architectures are presented.Workshop de Procesamiento Distribuido y Paralelo (WPDP)Red de Universidades con Carreras en Informática (RedUNCI
analysis of arrays of samples or analysis of complex Conventional genome mapping and sequencing invo...
Genomic datasets are growing dramatically as the cost of sequencing continues to decline and small s...
Taking into account the increase in use of the multi-core cluster architecture, in this paper we ana...
A DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is...
HPC (high perfomance computing) based on clusters of multicores is one of the main research lines in...
DNA sequence alignment is one of the most important operations of computational biology. In 1981, Sm...
The genome sequence alignment problems are very important ones from the computational biology perspe...
Distributed Shared Memory systems allow the use of the shared memory programming paradigm in distrib...
Distributed Shared Memory systems allow the use of the shared memory programming paradigm in distrib...
With the advent of High performance computing, it is now possible to achieve orders of magnitude per...
Variations in different types of genomes have been found to be responsible for a large degree of ph...
A poster discussing the use of parallel processing techniques (Hadoop, mapreduce, ect.) in processin...
Kary Ocaña,1 Daniel de Oliveira2 1National Laboratory of Scientific Computing, Petrópo...
Massive Parallel Sequencing is a term used to describe several revolutionary approaches to DNA seque...
Massively parallel DNA sequencing technologies have revolutionized genomics and molecular biology by...
analysis of arrays of samples or analysis of complex Conventional genome mapping and sequencing invo...
Genomic datasets are growing dramatically as the cost of sequencing continues to decline and small s...
Taking into account the increase in use of the multi-core cluster architecture, in this paper we ana...
A DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is...
HPC (high perfomance computing) based on clusters of multicores is one of the main research lines in...
DNA sequence alignment is one of the most important operations of computational biology. In 1981, Sm...
The genome sequence alignment problems are very important ones from the computational biology perspe...
Distributed Shared Memory systems allow the use of the shared memory programming paradigm in distrib...
Distributed Shared Memory systems allow the use of the shared memory programming paradigm in distrib...
With the advent of High performance computing, it is now possible to achieve orders of magnitude per...
Variations in different types of genomes have been found to be responsible for a large degree of ph...
A poster discussing the use of parallel processing techniques (Hadoop, mapreduce, ect.) in processin...
Kary Ocaña,1 Daniel de Oliveira2 1National Laboratory of Scientific Computing, Petrópo...
Massive Parallel Sequencing is a term used to describe several revolutionary approaches to DNA seque...
Massively parallel DNA sequencing technologies have revolutionized genomics and molecular biology by...
analysis of arrays of samples or analysis of complex Conventional genome mapping and sequencing invo...
Genomic datasets are growing dramatically as the cost of sequencing continues to decline and small s...
Taking into account the increase in use of the multi-core cluster architecture, in this paper we ana...