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Now showing items 41-50 of 50
Performance Evaluation of Sparse Matrix Products in UPC
(Springer New York LLC, 2013-04)
[Abstract] Unified Parallel C (UPC) is a Partitioned Global Address Space (PGAS) language whose popularity has increased during the last years owing to its high programmability and reasonable performance through an efficient ...
ParDRe: faster parallel duplicated reads removal tool for sequencing studies
(Oxford University Press, 2016)
[Abstract] Summary: Current next generation sequencing technologies often generate duplicated or near-duplicated reads that (depending on the application scenario) do not provide any interesting biological information but ...
Large-scale genome-wide association studies on a GPU cluster using a CUDA-accelerated PGAS programming model
(Sage Publications Ltd., 2015)
[Abstract] Detecting epistasis, such as 2-SNP interactions, in genome-wide association studies (GWAS) is an important but time consuming operation. Consequently, GPUs have already been used to accelerate these studies, ...
Parallelizing Epistasis Detection in GWAS on FPGA and GPU-Accelerated Computing Systems
(Institute of Electrical and Electronics Engineers, 2015)
[Abstract] High-throughput genotyping technologies (such as SNP-arrays) allow the rapid collection of up to a few million genetic markers of an individual. Detecting epistasis (based on 2-SNP interactions) in Genome-Wide ...
ParBiBit: Parallel tool for binary biclustering on modern distributed-memory systems
(PLoS, 2018)
[Abstract]: Biclustering techniques are gaining attention in the analysis of large-scale datasets as they identify two-dimensional submatrices where both rows and columns are correlated. In this work we present ParBiBit, ...
bioScience: A new python science library for high-performance computing bioinformatics analytics
(Elsevier Ltd, 2024)
[Abstract]: BioScience is an advanced Python library designed to satisfy the growing data analysis needs in the field of bioinformatics by leveraging High-Performance Computing (HPC). This library encompasses a vast multitude ...
CUDA acceleration of MI-based feature selection methods
(Elsevier, 2024-08)
[Abstract]: Feature selection algorithms are necessary nowadays for machine learning as they are capable of removing irrelevant and redundant information to reduce the dimensionality of the data and improve the quality of ...
Analysis of I/O Performance on an Amazon EC2 Cluster Compute and High I/O Platform
(Springer Netherlands, 2013-12)
[Abstract] Cloud computing is currently being explored by the scientific community to assess its suitability for High Performance Computing (HPC) environments. In this novel paradigm, compute and storage resources, as well ...
Automatic mapping of parallel applications on multicore architectures using the Servet benchmark suite
(Pergamon Press, 2012-03)
[Abstract] Servet is a suite of benchmarks focused on detecting a set of parameters with high influence on the overall performance of multicore systems. These parameters can be used for autotuning codes to increase their ...
Communication avoiding and overlapping for numerical linear algebra
(IEEE Computer Society, 2013-02-25)
[Abstract] To efficiently scale dense linear algebra problems to future exascale systems, communication cost must be avoided or overlapped. Communication-avoiding 2.5D algorithms improve scalability by reducing inter-processor ...
