Lu Li

Orcid: 0000-0001-8976-0484

Affiliations:
  • Linköping University, Department of Computer and Information Science, PELAB, Sweden


According to our database1, Lu Li authored at least 25 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Quick Quality Assessment and Radiometric Calibration of C-SAR/01 Satellite Using Flexible Automatic Corner Reflector.
Remote. Sens., January, 2023

Analysis of Interpolation Methods in the Validation of Backscattering Coefficient Products.
Sensors, 2023

2022
Airborne SAR Radiometric Calibration Based on Improved Sliding Window Integral Method.
Sensors, 2022

Content-augmented feature pyramid network with light linear spatial transformers for object detection.
IET Image Process., 2022

Assessing Buildings Damage from Multi-Temporal Sar Images Fusion using Semantic Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Content-Augmented Feature Pyramid Network with Light Linear Transformers.
CoRR, 2021

2020
Leveraging access mode declarations in a model for memory consistency in heterogeneous systems.
J. Log. Algebraic Methods Program., 2020

Evaluation of α_s1 for Building Damage Mapping based on Touzi Decomposition.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018
Programming Abstractions and Optimization Techniques for GPU-based Heterogeneous Systems.
PhD thesis, 2018

MeterPU: a generic measurement abstraction API - Enabling energy-tuned skeleton backend selection.
J. Supercomput., 2018

SkePU 2: Flexible and Type-Safe Skeleton Programming for Heterogeneous Parallel Systems.
Int. J. Parallel Program., 2018

Lazy Allocation and Transfer Fusion Optimization for GPU-Based Heterogeneous Systems.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

Ensuring Memory Consistency in Heterogeneous Systems Based on Access Mode Declarations.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

2017
Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: Programming Productivity, Performance, and Energy Consumption.
Proceedings of the 2017 Workshop on Adaptive Resource Management and Scheduling for Cloud Computing, 2017

VectorPU: A Generic and Efficient Data-container and Component Model for Transparent Data Transfer on GPU-based Heterogeneous Systems.
Proceedings of the 8th Workshop and 6th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and Design Tools and Architectures for Multicore Embedded Computing Platforms, 2017

2016
Pruning strategies in adaptive off-line tuning for optimized composition of components on heterogeneous systems.
Parallel Comput., 2016

An Extensible Platform Description Language Supporting Retargetable Toolchains and Adaptive Execution.
Proceedings of the 19th International Workshop on Software and Compilers for Embedded Systems, 2016

Efficient Execution of SkePU Skeleton Programs on the Low-Power Multicore Processor Myriad2.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

2015
Portable Parallelization of the EDGE CFD Application for GPU-based Systems using the SkePU Skeleton Programming Library.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015

XPDL: Extensible Platform Description Language to Support Energy Modeling and Optimization.
Proceedings of the 44th International Conference on Parallel Processing Workshops, 2015

2014
Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers.
CoRR, 2014

The PEPPHER composition tool: performance-aware composition for GPU-based systems.
Computing, 2014

2013
Adaptive Implementation Selection in the SkePU Skeleton Programming Library.
Proceedings of the Advanced Parallel Processing Technologies, 2013

2012
Adaptive Off-Line Tuning for Optimized Composition of Components for Heterogeneous Many-Core Systems.
Proceedings of the High Performance Computing for Computational Science, 2012

The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-Based Systems.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012


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