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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 ...
Parallel Pairwise Epistasis Detection on Heterogeneous Computing Architectures
(Institute of Electrical and Electronics Engineers, 2016-08)
[Abstract] Development of new methods to detect pairwise epistasis, such as SNP-SNP interactions, in Genome-Wide Association Studies is an important task in bioinformatics as they can help to explain genetic influences on ...
pRIblast: A highly efficient parallel application for comprehensive lncRNA–RNA interaction prediction
(Elsevier, 2023-01)
[Abstract]: Long non-coding RNAs (lncRNAs) play a key role in several biological processes and scientists are constantly trying to come up with new strategies to elucidate their functions. One common approach to characterize ...
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 ...
Servet: A Benchmark Suite for Autotuning on Multicore Clusters
(Institute of Electrical and Electronics Engineers, 2010-05-24)
[Abstract] MapReduce is a powerful tool for processing large data sets used by many applications running in distributed environments. However, despite the increasing number of computationally intensive problems that require ...
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 ...
UPCBLAS: a library for parallel matrix computations in Unified Parallel C
(John Wiley & Sons Ltd., 2012-09-25)
[Abstract] The popularity of Partitioned Global Address Space (PGAS) languages has increased during the last years thanks to their high programmability and performance through an efficient exploitation of data locality, ...
The Servet 3.0 benchmark suite: characterization of network performance degradation
(Pergamon Press, 2013-11)
[Abstract] Servet is a suite of benchmarks focused on extracting a set of parameters with high influence on the overall performance of multicore clusters. These parameters can be used to optimize the performance of parallel ...