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Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.10137-10157

2024

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Virtual LiDAR Simulation as a High Performance Computing Challenge: Toward HPC HELIOS

IEEE access, 2022, Vol.10, p.105052-105073

2022

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Load balanced heterogeneous parallelism for finite difference problems on image denoising

Computational and mathematical methods, 2021-05, Vol.3 (3), p.n/a

2021

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A Developer-Friendly "Open Lidar Visualizer and Analyser" for Point Clouds With 3D Stereoscopic View

IEEE access, 2018, Vol.6, p.63813-63822

2018

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Characterizing zebra crossing zones using LiDAR data

Computer-aided civil and infrastructure engineering, 2023-09, Vol.38 (13), p.1767-1788

2023

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Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing

The Journal of supercomputing, 2024, Vol.80 (9), p.13295-13316

2024

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High performance genetic algorithm for land use planning

Computers, environment and urban systems, 2013-01, Vol.37, p.45-58

2013

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A new thread-level speculative automatic parallelization model and library based on duplicate code execution

The Journal of supercomputing, 2024, Vol.80 (10), p.13714-13737

2024

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Sparse matrix–vector multiplication on the Single-Chip Cloud Computer many-core processor

Journal of parallel and distributed computing, 2013-12, Vol.73 (12), p.1539-1550

2013

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Landing sites detection using LiDAR data on manycore systems

The Journal of supercomputing, 2017, Vol.73 (1), p.557-575

2017

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Graph-based approach for airborne light detection and ranging segmentation

Journal of applied remote sensing, 2017-03, Vol.11 (1), p.15020

2017

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Euro-Par 2017: Parallel Processing : 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 - September 1, 2017, Proceedings

2017

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Using sampled information: is it enough for the sparse matrix-vector product locality optimization?

Concurrency and computation, 2014-01, Vol.26 (1), p.98-117

2014

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A hardware counter-based toolkit for the analysis of memory accesses in SMPs

Concurrency and computation, 2014-04, Vol.26 (6), p.1328-1341

2014

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A flexible and dynamic page migration infrastructure based on hardware counters

The Journal of supercomputing, 2013-08, Vol.65 (2), p.930-948

2013

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Following the Blind Seer – Creating Better Performance Models Using Less Information

Euro-Par 2017: Parallel Processing, p.106-118

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Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales

Euro-Par 2017: Parallel Processing, 2016, Vol.10417, p.3-19

2016

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Using accurate AIC-based performance models to improve the scheduling of parallel applications

Journal of supercomputing, 2011-12, Vol.58 (3), p.332-340

2011

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An Accurate Simulator of Cache-Line Conflicts to Exploit the Underlying Cache Performance

Euro-Par 2017: Parallel Processing, p.119-133

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A fast and optimal pathfinder using airborne LiDAR data

ISPRS journal of photogrammetry and remote sensing, 2022-01, Vol.183, p.482-495

2022

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Scaling Energy Adaptive Applications for Sustainable Profitability

Euro-Par 2017: Parallel Processing, p.23-35

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CIMAR, NIMAR, and LMMA: Novel algorithms for thread and memory migrations in user space on NUMA systems using hardware counters

Future generation computer systems, 2022-04, Vol.129, p.18-32

2022

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Generic Algorithms for Scheduling Applications on Hybrid Multi-core Machines

Euro-Par 2017: Parallel Processing, p.220-231

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Deadline-Aware Deployment for Time Critical Applications in Clouds

Euro-Par 2017: Parallel Processing, p.345-357

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Shared Memory Pipelined Parareal

Euro-Par 2017: Parallel Processing, p.669-681

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Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys

Virtual LiDAR Simulation as a High Performance Computing Challenge: Toward HPC HELIOS

Load balanced heterogeneous parallelism for finite difference problems on image denoising

A Developer-Friendly "Open Lidar Visualizer and Analyser" for Point Clouds With 3D Stereoscopic View

Characterizing zebra crossing zones using LiDAR data

Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing

High performance genetic algorithm for land use planning

A new thread-level speculative automatic parallelization model and library based on duplicate code execution

Sparse matrix–vector multiplication on the Single-Chip Cloud Computer many-core processor

Landing sites detection using LiDAR data on manycore systems

Graph-based approach for airborne light detection and ranging segmentation

Euro-Par 2017: Parallel Processing : 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 - September 1, 2017, Proceedings

Using sampled information: is it enough for the sparse matrix-vector product locality optimization?

A hardware counter-based toolkit for the analysis of memory accesses in SMPs

A flexible and dynamic page migration infrastructure based on hardware counters

Following the Blind Seer – Creating Better Performance Models Using Less Information

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales

Using accurate AIC-based performance models to improve the scheduling of parallel applications

An Accurate Simulator of Cache-Line Conflicts to Exploit the Underlying Cache Performance

A fast and optimal pathfinder using airborne LiDAR data

Scaling Energy Adaptive Applications for Sustainable Profitability

CIMAR, NIMAR, and LMMA: Novel algorithms for thread and memory migrations in user space on NUMA systems using hardware counters

Generic Algorithms for Scheduling Applications on Hybrid Multi-core Machines

Deadline-Aware Deployment for Time Critical Applications in Clouds

Shared Memory Pipelined Parareal

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