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The Pangeo Ecosystem: Interactive computing Tools for the geosciences: Benchmarking on HPC 6th

The Pangeo Ecosystem: Interactive Computing Tools for the Ge...

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6th Annual Workshop on HPC User Support Tools, HUST 2019, International Workshop on Software Engineering for HPC-Enabled Research, SE-HER 2019, and 3rd Workshop on Interactive high-performance computing, WIHPC 2019, held in conjunction with the International conference for high performance computing, Networking, Storage, and Analysis, SC 2019

作者： Odaka, Tina Erica Banihirwe, Anderson Eynard-Bontemps, Guillaume Ponte, Aurelien Maze, Guillaume Paul, Kevin Baker, Jared Abernathey, Ryan Laboratory for Ocean Physics and Satellite Remote Sensing UMR LOPS Ifremer Univ. Brest CNRS IRD IUEM Brest France National Center for Atmospheric Research BoulderCO United States CNES Computing Center Team Centre National d’Etudes Spatiales Toulouse France Lamont Doherty Earth Observatory Columbia University New York United States

ISBN: (纸本)9783030447274

The Pangeo ecosystem is an interactive computing software stack for HPC and public cloud infrastructures. In this paper, we show benchmarking results of the Pangeo platform on two different HPC systems. Four different geoscience operations were considered in this benchmarking study with varying chunk sizes and chunking schemes. Both strong and weak scaling analyses were performed. Chunk sizes between 64 MB to 512 MB were considered, with the best scalability obtained for 512 MB. Compared to certain manual chunking schemes, the auto chunking scheme scaled well. © 2020, Springer Nature Switzerland AG.

关键词： Benchmarking

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Polarization remote sensing of atmospheric coated-spherical aerosol based on optical vortex and parallel acceleration 8

Polarization remote sensing of atmospheric coated-spherical ...

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conference on high-performance computing in geoscience and remote sensing viiI

作者： Guo, Lixin Shi, Chen-ge Huang, Qingqing Cheng, Mingjian Li, Jiangting Xidian Univ Sch Phys & Optoelect Engn Xian 710071 Shaanxi Peoples R China State Key Lab Pulsed Power Laser Technol Hefei 230037 Anhui Peoples R China

ISBN: (数字)9781510621688

ISBN: (纸本)9781510621688

Based on the scattering effect of vortex beams, the remote sensing for aerosol particles in different atmosphere environments is investigated. In this paper we regard the aerosol particle to a coated-spherical particle other than an uniform single particle as it's more consistent with the way it exists in the actual atmosphere. The influences of orbital angular momentum (OAM) mode, the beam width of vortex beams, the outer and inner radius on the performance on the remote sensing for coated-spherical particles in marine atmosphere are analyzed numerically. Results indicated that the runtime will sharply increase when the number of the orbital angular momentum modes is large enough. Therefore, the parallel acceleration technology is used by us in this paper to solve this problem.

关键词： topological charge coated-spherical vortex beam aerosol particles Mie scattering

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Gobal Forest Cover Mapping using Landsat and Google Earth Engine cloud computing 8

Gobal Forest Cover Mapping using Landsat and Google Earth En...

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8th International conference on Agro-Geoinformatics (Agro-Geoinformatics)

作者： Zhang, Xiaomei Long, Tengfei He, Guojin Guo, Yantao Chinese Acad Sci Aerosp Informat Res Inst Beijing Peoples R China Chinese Acad Sci Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9781728121161

Nowadays, the access of Landsat data-sets and the ever-lowering costs of computing make it feasible to monitor the Earth's land cover at Landsat resolutions of 30 meter. However, the rapid forest-covered products on a large scale, such as intercontinental or global, is still challenging. By utilizing the huge catalog of satellite imagery as well as the high-performance computing capacity of Google Earth Engine, we proposed an automated pipeline for generating 30-meter resolution global-scale forest map from time-series of Landsat images, and a novel 30-meter resolution global forest map of 2018 is released. In this paper, we describe the methods to create products of forest cover at Landsat resolutions. First, we partitioned the landscapes into sub-regions of similar forest type and spatial continuity, thus maximizing spectral differentiation, simplifying classifier model and improving classification accuracy. Then, with the existing forest cover, which come from a variety of sources, a multi-source forest/non-forest sample set was established for machine algorithm learning training. Finally, a machine learning algorithm was used to obtain samples automatically, extract the characteristics of satellite images and establish the forest / non-forest classifier models. Taking the Landsat8 images in 2018 as a case, selecting satellite image features based on the study of forest reflectance, including on-board reflectivity, the index of forest vegetation and the texture features of each hand, using established forest eco-zoning and multi-source forest / non-forest sample points, we realized automated learning and classification of forest cover for three initial zones. The accuracy verification of forest cover products in the three region was carried on two aspects: collecting verification points on high resolution satellite imagery (e.g. google earth), and cross-validating the current globally disclosed forest cover products. These two methods will illustrate the accuracy

关键词： Google Earth Engine Global Forest Eco-zoning Forest Cover Products Random Forest (RF)

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A Hierarchical Model for Embedded Real-time Stereo Imaging 8

A Hierarchical Model for Embedded Real-time Stereo Imaging

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conference on high-performance computing in geoscience and remote sensing viiI

作者： He, Wenjing Hu, Jian Zhou, Chuncheng Li, Chuanrong Li, Wei Han, Yalan Chinese Acad Sci Key Lab Quantitat Remote Sensing Informat Technol Acad Optoelect Beijing 100094 Peoples R China

ISBN: (数字)9781510621688

ISBN: (纸本)9781510621688

The special features of Stereo Imaging for LiDAR and hyperspectral sensor are multi-source data and complex algorithm, which will bring huge challenges to embedded real-time processing. To improve system performance, efficient software design is important. In this paper, based on the hardware platform with FPGA+2C6678, a hierarchical parallel model for software design is studied. In intermediate layer, an adaptive dynamic scheduling strategy and a two-stage pipeline parallel architecture based on message transmission are presented, which provide efficient connection between the top application design and the bottom hardware environment. The results indicate that this model is strongly supportive for the high-performance of embedded system, and is beneficial for the open and universal design.

关键词： stereo imaging real-time hierarchical model embedded system

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ScOSA - Application Development for a high-performance Space Qualified Onboard computing Platform 8

ScOSA - Application Development for a High-Performance Space...

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conference on high-performance computing in geoscience and remote sensing viiI

作者： Schwenk, Kurt Ulmer, Moritz Peng, Ting German Aerosp Ctr DLR GSOC Munchner Str 20 D-82234 Wessling Germany German Aerosp Ctr DLR Simulat & Software Technol Lilienthalpl 7 D-38108 Braunschweig Germany

ISBN: (数字)9781510621688

ISBN: (纸本)9781510621688

Future onboard computing applications require signi ficantly greater computing performance than is currently provided by standard space qualified onboard computers. Examples of such applications include onboard data analysis and (rendezvous) navigation tasks. Therefore, the German Aerospace Center is currently developing Scalable On-board computing for Space Avionics (ScOSA). The aim of the ScOSA onboard computing platform is to deliver high performance, reliability, scalability and cost-efficiency. To reach these properties, a distributed computing platform approach is used, by which reliable radiation hardened computing nodes (LEON3's) are combined with several high performance computing nodes (Xilinx Zynq), connected over a high-bandwidth SpaceWire network. The execution platform consists of a distributed task-based framework. In this paper, the architecture, features and capabilities of the ScOSA onboard computing platform are presented from an application developer's view. A brief summary of the design goals and the general hardware and software architecture of the ScOSA system will be introduced. This is followed by a description of the programming model and the application interface, with a focus on how the distributed nature of the ScOSA system is handled. It will also be shown how an existing application can be integrated in the ScOSA system. The main part of this paper will focus on the computing performance attainable from the ScOSA platform. There will be a comparison of the computing performance of an example application executed on the ScOSA system versus a standard PC. It will also be demonstrated how the performance of an application can be improved by adapting it to the distributed computing architecture of the ScOSA platform. Furthermore, a short overview of the failure detection and recovery features of the ScOSA platform are described and how they can be integrated into an application.

关键词： computing systems Distributed computing Commercial off the shelf technology Software development Standards development Computer architecture Space operations Data processing Field programmable gate arrays Reliability

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performance of Global 3D model retrievals of the Martian surface using the UCL CASP-GO system on CTX stereo images on Linux clusters and Microsoft Azure® cloud computing platforms 8

Performance of Global 3D model retrievals of the Martian sur...

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conference on high-performance computing in geoscience and remote sensing viiI

作者： Tao, Y. Muller, J-P. Univ Coll London Imaging Grp Mullard Space Sci Lab Dorking RH5 6NT Surrey England

ISBN: (数字)9781510621688

ISBN: (纸本)9781510621688

In this paper we introduce the Mars planet-wide 3D surface modelling work performed within the EU FP-7 iMars project which completed last year. In this report, we describe a fully automated multi-resolution DTM processing chain developed by the Imaging Group at UCL-MSSL, called CASP-GO based upon the heritage NASA Ames Stereo Pipeline (ASP) and the Gotcha image matcher. The CASP-GO system has been integrated into the Microsoft Azure cloud computing environment and successfully processed similar to 5,300 unique CTX DTMs covering similar to 19% of the Martian surface at 18m resolution.

关键词： 3D model DTM CASP-GO cloud computing Mars stereo CTX

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Multiclass Change Detection for Multidimensional Images in the Presence of Noise 8

Multiclass Change Detection for Multidimensional Images in t...

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conference on high-performance computing in geoscience and remote sensing viiI

作者： Lopez-Fandino, Javier Heras, Dora B. Arguello, Francisco Univ Santiago de Compostela Ctr Singular Invest Tecnoloxias Informac CiTIUS Santiago De Compostela Spain Univ Santiago de Compostela Dept Elect & Computac Santiago De Compostela Spain

ISBN: (数字)9781510621688

ISBN: (纸本)9781510621688

Change Detection (CD) techniques applied over multitemporal multispectral or hyperspectral remote sensing images allow monitoring changes in the land use or catastrophe tracking, among other applications. A multiclass CD technique for multidimensional images that is robust in the presence of noise is presented in this paper. The technique combines fusion at feature level to perform a first change/no change labeling (binary CD) and a later stage with fusion at decision level that performs a supervised multidate classification of the changed pixels (multiclass CD) obtaining the final from-to change map. The acquisition of multidimensional images usually corrupts the original signal by adding noise. This noise can be related with natural random processes or it can be produced during the sensor operation. Additive White Gaussian Noise (AWGN) and speckle noise simulate these effects. In this paper the robustness of the proposed CD technique in noisy scenarios for these two types of noise of varying intensity is evaluated. The experimental results show that the proposed technique is more robust than other alternatives, achieving accuracies close to those obtained in the absence of noise. The proposed technique is designed to be efficiently computed in GPU, thus dealing with the high computational cost of the processing of multidimensional images.

关键词： Multiclass change detection remote sensing noise classification GPU

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Radar & Additive Manufacturing Technologies: the Future of Internet of Things (IoT)

Radar & Additive Manufacturing Technologies: the Future of I...

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IEEE Radar conference

作者： Hester, Jimmy G. D. Kimionis, John Bahr, Ryan Su, Wenjing Tehrani, Bijan Tentzeris, Manos M. Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)9781538641675

The authors make a case for a soon-to-be preponderance of radar technologies for communications with devices of the IoT. First, the tag architectures enabling these communications are presented. Novel 24 GHz and mm-wave flexible low-cost chip less RFID and backscatter/reflectarray-based node approaches demonstrating a record measured range of 80m, with a potential maximum range in excess of 1 km, zero to low W power consumption, and Gbps communications rates are presented. In a second part, recent advances in additive-manufacturing technologies enabling large cost reductions for the next generation of integrated radar ICs are reported. Specifically, the combination of 3D and inkjet printing enables the development of fully 3D compact low-cost integrated modules along with high-performance interconnects. These innovations, simultaneously empowering and empowered by radar technologies, present a compelling avenue for the emergence of dense constellations of flexible smart skin nodes for ubiquitous sensing, identification, and localization.

关键词： remote sensing mm-wave Chipless RFID Inkjet printing Flexible electronics Internet of Things Smart Skin

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GPU Implementation of Discrete Particle Swarm Optimization Algorithm for Endmember Extraction From Hyperspectral Image 7

GPU Implementation of Discrete Particle Swarm Optimization A...

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conference on high-performance computing in geoscience and remote sensing vii

作者： Yu, Chaoyin Yuan, Zhengwu Wu, Yuanfeng Chongqing Univ Posts & Telecommun Coll Comp Sci & Technol Chongqing 400065 Peoples R China Chinese Acad Sci Inst Remote Sensing & Digital Earth Key Lab Digital Earth Sci Beijing 100094 Peoples R China

ISBN: (纸本)9781510613256;9781510613249

Hyperspectral image unmixing is an important part of hyperspectral data analysis. The mixed pixel decomposition consists of two steps, endmember (the unique signatures of pure ground components) extraction and abundance (the proportion of each endmember in each pixel) estimation. Recently, a Discrete Particle Swarm Optimization algorithm (DPSO) was proposed for accurately extract endmembers with high optimal performance. However, the DPSO algorithm shows very high computational complexity, which makes the endmember extraction procedure very time consuming for hyperspectral image unmixing. Thus, in this paper, the DPSO endmember extraction algorithm was parallelized, implemented on the CUDA (GPU K20) platform, and evaluated by real hyperspectral remote sensing data. The experimental results show that with increasing the number of particles the parallelized version obtained much higher computing efficiency while maintain the same endmember exaction accuracy.

关键词： Hyperspectral image Endmember extraction Discrete particle swarm optimization (DPSO) Ggraphicss processing units (GPUs) high-performance computing

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remote sensing for aerosol particles in marine atmosphere using scattering of optical vortex 7

Remote sensing for aerosol particles in marine atmosphere us...

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conference on high-performance computing in geoscience and remote sensing vii

作者： Guo, Linxin Huang, Qingqing Cheng, Mingjian Li, Jiangting Yan, Xu Xidian Univ Sch Phys & Optoelect Engn Xian 710071 Shaanxi Peoples R China State Key Lab Pulsed Power Laser Technol Hefei 230037 Anhui Peoples R China

ISBN: (纸本)9781510613256;9781510613249

Based on the scattering effect of optical vortex, the remote sensing for aerosol particles in marine atmosphere is investigated. The influences of orbital angular momentum (OAM) mode and beam width of Laguerre-Gaussian (LG) beam on the performance on the remote sensing for aerosol particles in marine atmosphere are analyzed numerically. The scattering properties of aerosol particles by LG beam are more sensitive to the change of relative humidity, compared to that of plane wave and Gaussian beam (GB). remote sensing systems based on LG beam with OAM modes show superiority over traditional plane wave and Gaussian beam cases in detecting the changes in relative humidity of marine atmosphere aerosol. Results also indicate that, when the number of OAM modes p (l) increase, the Radar CrossSection (RCS) of aerosol particles alternating appear extreme values in the forward and backward scattering, because of the special ring-shaped distribution of LG beam. The forward and backward scattering of aerosol particles decrease with the increase in beam waist. As beam waist is less than the radius of aerosol particle, there exists a minimum value in the forward direction.

关键词： Aerosol particles Laguerre-Gaussian beam relative humidity Mie scattering

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