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Automated and accurate cache behavior analysis for codes with irregular access patterns
(John Wiley & Sons Ltd., 2007-04-03)
[Abstract] The memory hierarchy plays an essential role in the performance of current computers, so good analysis tools that help in predicting and understanding its behavior are required. Analytical modeling is the ideal ...
Enhanced global optimization methods applied to complex fisheries stock assessment models
(Elsevier BV, 2019-04)
[Abstract]
Statistical fisheries models are frequently used by researchers and agencies to understand the behavior of marine ecosystems or to estimate the maximum acceptable catch of different species of commercial interest. ...
ScalaParBiBit: Scaling the Binary Biclustering in Distributed-Memory Systems
(SpringerLink, 2021-03-19)
[Abstract] Biclustering is a data mining technique that allows us to find groups of rows and columns that are highly correlated in a 2D dataset. Although there exist several software applications to perform biclustering, ...
OpenCNN: A Winograd Minimal Filtering Algorithm Implementation in CUDA
(MDPI, 2021)
[Abstract] Improving the performance of the convolution operation has become a key target for High Performance Computing (HPC) developers due to its prevalence in deep learning applied mainly to video processing. The ...
Novel parallelization of simulated annealing and Hooke & Jeeves search algorithms for multicore systems with application to complex fisheries stock assessment models
(Elsevier Ltd, 2016-11)
[Abstract] Estimating parameters of a statistical fisheries assessment model typically involves a comparison of disparate datasets to a forward simulation model through a likelihood function. In all but trivial cases the ...
Facilitating the development of stencil applications using the Heterogeneous Programming Library
(2017)
[Abstract] Stencil computations are very common in scientific codes. Heterogeneous systems achieve good results solving these problems, but their programming is complex because of the ghost regions required in multi-device ...
High-performance dataflow computing in hybrid memory systems with UPC++ DepSpawn
(Springer, 2021)
[Abstract]: Dataflow computing is a very attractive paradigm for high-performance computing, given its ability to trigger computations as soon as their inputs are available. UPC++ DepSpawn is a novel task-based library ...
A Software Cache Autotuning Strategy for Dataflow Computing with UPC++ DepSpawn
(Wiley, 2021)
[Abstract] Dataflow computing allows to start computations as soon as all their dependencies are satisfied. This is particularly useful in applications with irregular or complex patterns of dependencies which would otherwise ...
GPU Accelerated Molecular Docking Simulation with Genetic Algorithms
(Springer, Cham, 2016)
[Abstract] Receptor-Ligand Molecular Docking is a very computationally expensive process used to predict possible drug candidates for many diseases. A faster docking technique would help life scientists to discover better ...
Accelerating the HyperLogLog Cardinality Estimation Algorithm
(Hindawi, 2017)
[Abstract] In recent years, vast amounts of data of different kinds, from pictures and videos from our cameras to software logs from sensor networks and Internet routers operating day and night, are being generated. This ...