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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. ...
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 ...
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 ...
Developing adaptive multi-device applications with the Heterogeneous Programming Library
(Springer, 2015)
[Abstract] The usage of heterogeneous devices presents two main problems. One is their complex programming, a problem that grows when multiple devices are used. The second issue is that even if the codes for these devices ...
A general and efficient divide-and-conquer algorithm framework for multi-core clusters
(SpringerLink, 2017)
[Abstract]Divide-and-conquer is one of the most important patterns of parallelism, being applicable to a large variety of problems. In addition, the most powerful parallel systems available nowadays are computer clusters ...
A framework for argument-based task synchronization with automatic detection of dependencies
(Elsevier, 2013)
[Abstract] Synchronization in parallel applications can be achieved either implicitly or explicitly. Implicit synchronization is typical of programming environments that provide predefined, and often simple, patterns of ...
High Productivity Multi-device Exploitation with the Heterogeneous Programming Library
(Elsevier, 2016)
[Abstract] Heterogeneous devices require much more work from programmers than traditional CPUs, particularly when there are several of them, as each one has its own memory space. Multidevice applications require to distribute ...
On processing extreme data
(Universitatea de Vest din Timisoara,West University of Timisoara, 2016)
[Abstract] Extreme Data is an incarnation of Big Data concept distinguished by the massive amounts of data that must be queried, communicated and analyzed in near real-time by using a very large number of memory or storage ...