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The Virtual Savant: Automatic generation of parallel solvers

Information sciences, 2018-03, Vol.432, p.411-430

2018

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Solving very large instances of the scheduling of independent tasks problem on the GPU

Journal of parallel and distributed computing, 2013-01, Vol.73 (1), p.101-110

2013

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Evolving a Deep Neural Network Training Time Estimator

Optimization and Learning, p.13-24

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A two-phase heuristic for the energy-efficient scheduling of independent tasks on computational grids

Cluster computing, 2013-09, Vol.16 (3), p.421-433

2013

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Optimisation of the enhanced distance based broadcasting protocol for MANETs

The Journal of supercomputing, 2012-12, Vol.62 (3), p.1213-1240

2012

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It’s Not a Bug, It’s a Feature: Wait-Free Asynchronous Cellular Genetic Algorithm

Parallel Processing and Applied Mathematics, 2014, p.361-370

2014

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Weakness Analysis of a Key Stream Generator Based on Cellular Automata

Parallel Processing and Applied Mathematics, p.547-552

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Automatic Software Tuning of Parallel Programs for Energy-Aware Executions

Parallel Processing and Applied Mathematics, p.144-155

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Proximal Policy Optimisation for a Private Equity Recommitment System

Artificial Intelligence and Machine Learning, p.203-217

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Evolutionary Algorithm Parameter Tuning with Sensitivity Analysis

Security and Intelligent Information Systems, p.204-216

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Energy Efficiency and High-Performance Computing

Large-Scale Distributed Systems and Energy Efficiency, 2015, Vol.94, p.197-224

2015

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Reducing Overfitting and Improving Generalization in Training Convolutional Neural Network (CNN) under Limited Sample Sizes in Image Recognition

2020 - 5th International Conference on Information Technology (InCIT), 2020, p.300-305

2020

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A new parallel asynchronous cellular genetic algorithm for scheduling in grids

2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010, p.1-8

2010

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Savant: Automatic parallelization of a scheduling heuristic with machine learning

2013 World Congress on Nature and Biologically Inspired Computing, 2013, p.52-57

2013

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Comparing the Performance and Power Usage of GPU and ARM Clusters for Map-Reduce

2013 International Conference on Cloud and Green Computing, 2013, p.199-200

2013

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Optimizing the Resource and Job Management System of an Academic HPC & Research Computing Facility

2022 21st International Symposium on Parallel and Distributed Computing (ISPDC), 2022, p.129-137

2022

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Combining Machine Learning and Genetic Algorithms to Solve the Independent Tasks Scheduling Problem

2017 3rd IEEE International Conference on Cybernetics (CYBCONF), 2017, p.1-8

2017

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A New Parallel Asynchronous Cellular Genetic Algorithm for de Novo Genomic Sequencing

2009 International Conference of Soft Computing and Pattern Recognition, 2009, p.178-183

2009

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Memory-Aware Green Scheduling on Multi-core Processors

2010 39th International Conference on Parallel Processing Workshops, 2010, p.485-488

2010

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A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography

2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2021, p.1-6

2021

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Performance Analysis of Distributed and Scalable Deep Learning

2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2020, p.760-766

2020

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Evolutionary Learning of Private Equity Recommitment Strategies

2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, p.1-8

2021

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A two-phase heuristic for the scheduling of independent tasks on computational grids

2011 International Conference on High Performance Computing & Simulation, 2011, p.471-477

2011

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Energy-Efficient Scheduling on Milliclusters with Performance Constraints

2011 IEEE/ACM International Conference on Green Computing and Communications, 2011, p.44-49

2011

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HPCS 2011 panel session: Graphical processing units (GPUs): Opportunities and challenges

2011 International Conference on High Performance Computing & Simulation, 2011, p.1-11

2011

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The Virtual Savant: Automatic generation of parallel solvers

Solving very large instances of the scheduling of independent tasks problem on the GPU

Evolving a Deep Neural Network Training Time Estimator

A two-phase heuristic for the energy-efficient scheduling of independent tasks on computational grids

Optimisation of the enhanced distance based broadcasting protocol for MANETs

It’s Not a Bug, It’s a Feature: Wait-Free Asynchronous Cellular Genetic Algorithm

Weakness Analysis of a Key Stream Generator Based on Cellular Automata

Automatic Software Tuning of Parallel Programs for Energy-Aware Executions

Proximal Policy Optimisation for a Private Equity Recommitment System

Evolutionary Algorithm Parameter Tuning with Sensitivity Analysis

Energy Efficiency and High-Performance Computing

Reducing Overfitting and Improving Generalization in Training Convolutional Neural Network (CNN) under Limited Sample Sizes in Image Recognition

A new parallel asynchronous cellular genetic algorithm for scheduling in grids

Savant: Automatic parallelization of a scheduling heuristic with machine learning

Comparing the Performance and Power Usage of GPU and ARM Clusters for Map-Reduce

Optimizing the Resource and Job Management System of an Academic HPC & Research Computing Facility

Combining Machine Learning and Genetic Algorithms to Solve the Independent Tasks Scheduling Problem

A New Parallel Asynchronous Cellular Genetic Algorithm for de Novo Genomic Sequencing

Memory-Aware Green Scheduling on Multi-core Processors

A Data-Driven Reconstruction Technique based on Newton's Method for Emission Tomography

Performance Analysis of Distributed and Scalable Deep Learning

Evolutionary Learning of Private Equity Recommitment Strategies

A two-phase heuristic for the scheduling of independent tasks on computational grids

Energy-Efficient Scheduling on Milliclusters with Performance Constraints

HPCS 2011 panel session: Graphical processing units (GPUs): Opportunities and challenges

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