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High Performance Computing in Remote Sensing - Chapter 18 (end) pptx

High Performance Computing in Remote Sensing - Chapter 18 (end) pptx

High Performance Computing in Remote Sensing - Chapter 18 (end) pptx

... LLC420 High- Performance Computing in Remote Sensing In summary, GPU makers will continue the battle for dominance in the consumergaming industry, producing a competitive environment with rapid innovation ... LLC412 High- Performance Computing in Remote Sensing 18. 5 Experimental Results 441 18. 5.1 GPU Architectures 441 18. 5.2 Hyperspectral Data 442 18. 5.3 Performance Evaluation 443 18. 6 Conclusions 449 18. 7 ... in Listing 3) .© 2008 by Taylor & Francis Group, LLC422 High- Performance Computing in Remote Sensing Distribution converts loop-independent and forward-carried dependences into depen-dences...
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High Performance Computing in Remote Sensing - Chapter 2 docx

High Performance Computing in Remote Sensing - Chapter 2 docx

... 12 High- Performance Computing in Remote Sensing is a good example of the computational requirements introduced by remote sensing applications, there are many other remote sensing areas in which ... LLC 18 High- Performance Computing in Remote Sensing ExtremeExtremeExtremeExtremeSkewer 3Skewer 2Skewer 1Figure 2.3 Toy example illustrating the performance of the PPI algorithm in a2-dimensional ... LLC22 High- Performance Computing in Remote Sensing It should be noted that the proposed parallel algorithm has been implemented in the C++ programming language, using calls to message passing interface...
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High Performance Computing in Remote Sensing - Chapter 4 pptx

High Performance Computing in Remote Sensing - Chapter 4 pptx

... unconstrainedor nonnegatively constrained demixing.© 2008 by Taylor & Francis Group, LLC94 High- Performance Computing in Remote Sensing many gigabytes in size). ORASIS, like most linear mixing ... sum-to-one and non-negativity constraints (Eqs. 4.2 and 4.3, respectively) are enforced, then the linear© 2008 by Taylor & Francis Group, LLC78 High- Performance Computing in Remote Sensing 504540353025Number ... as a vector in l-dimensional space. Let Ejbe the© 2008 by Taylor & Francis Group, LLC74 High- Performance Computing in Remote Sensing 4.3.1 PrescreenerThe prescreener module in ORASIS has...
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High Performance Computing in Remote Sensing - Chapter 7 potx

High Performance Computing in Remote Sensing - Chapter 7 potx

... & Francis Group, LLC142 High- Performance Computing in Remote Sensing experiments was Linux Fedora Core, and MPICH was the message-passing libraryused (see http://www-unix.mcs.anl.gov/mpi/mpich).7.3.2 ... Singapore, 2002.© 2008 by Taylor & Francis Group, LLC132 High- Performance Computing in Remote Sensing hundreds of spectral channels and very fine spatial resolution. Low-cost parallel computing ... scene of Salinas Valley, California (a), and land-cover groundclasses (b).© 2008 by Taylor & Francis Group, LLC140 High- Performance Computing in Remote Sensing with k = 1, 2, , C. In our implementation,...
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High Performance Computing in Remote Sensing - Chapter 8 pps

High Performance Computing in Remote Sensing - Chapter 8 pps

... andBareSoilBuildingsConcrete/AsphaltCornCorn?Corn-EWCorn-NSCorn-CleanTillCorn-CleanTill-EWCorn-CleanTill-NSCorn-CleanTill-NS-IrrigatedCorn-CleanTilled-NS?Corn-MinTillCorn-MinTill-EWCorn-MinTill-NSCorn-NoTillCorn-NoTill-EWCorn-NoTill-NSFescueGrassGrass/TreesGrass/Pasture-mowedGrass/PastureGrass-runwayHayHay?Hay-AlfalfaLakeNotCroppedOatsFigure ... 71.64Corn-CleanTill-NS-Irrigated 60.91Corn-CleanTilled-NS 70.27Corn-MinTill 79.71Corn-MinTill-EW 65.51Corn-MinTill-NS 69.57Corn-NoTill 87.20Corn-NoTill-EW 91.25Corn-NoTill-NS 44.64Fescue 42.37Grass ... Francis Group, LLC166 High- Performance Computing in Remote Sensing introduced by communication among different processors if no redundant informa-tion is introduced in the system. Given the...
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High Performance Computing in Remote Sensing - Chapter 9 pps

High Performance Computing in Remote Sensing - Chapter 9 pps

... of peer-to-peer computing, Internet computing, high- throughput computing, distributed supercomputing, or ubiquitous computing. 9.4.3 End-User ToolsThus far, we have described the service-oriented ... Monitoring and Control© 2008 by Taylor & Francis Group, LLC 184 High- Performance Computing in Remote Sensing 9.1 IntroductionThe concept of distributed computing has been around since the ... representationusing content-oriented markup symbols that has gained wide-spread use in © 2008 by Taylor & Francis Group, LLC200 High- Performance Computing in Remote Sensing [17] K. Ballinger et...
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High Performance Computing in Remote Sensing - Chapter 11 pdf

High Performance Computing in Remote Sensing - Chapter 11 pdf

... European-wide service grid© 2008 by Taylor & Francis Group, LLC240 High- Performance Computing in Remote Sensing 11.2.1 ERS-2The ERS-2 Earth Observation mission [3] has been operating since ... & Francis Group, LLC250 High- Performance Computing in Remote Sensing duplication, and has increased the cooperation and coordination of efforts in collect-ing data. The data are made available ... Sensing rThe many different actors involved. Science is becoming increasingly inter-national and interdisciplinary, resulting in an increased total number of dif-ferent actors involved (not only human)....
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High Performance Computing in Remote Sensing - Chapter 14 pptx

High Performance Computing in Remote Sensing - Chapter 14 pptx

... Francis Group, LLC358 High- Performance Computing in Remote Sensing [19] D. A. Roberts, M. Gardner, R. Church, et al., Mapping chaparral in the SantaMonica Mountains usingmultipleendmember spectral ... characteristics: 8 kg, 15 Watts, 25 18 ×12 cm. The M3instrument was built in 24 months.© 2008 by Taylor & Francis Group, LLC336 High- Performance Computing in Remote Sensing instruments typically measure ... productsare given in Table 14.4.© 2008 by Taylor & Francis Group, LLC354 High- Performance Computing in Remote Sensing TABLE 14.5Nominal Characteristics of an Earth Imaging Spectrometerfor...
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High Performance Computing in Remote Sensing - Chapter 17 docx

High Performance Computing in Remote Sensing - Chapter 17 docx

... real-time processing fashions will be discussed to fit the three remote sensing data formats: pixel-by-pixel processing for BIP formats, line-by-lineprocessing for BIL formats, and band-by-band ... corresponding pixel© 2008 by Taylor & Francis Group, LLC408 High- Performance Computing in Remote Sensing reasonable delay) when the entire data set is received. Several practical implementa-tion ... until theresulting LSE is below a prescribed error threshold η.© 2008 by Taylor & Francis Group, LLC398 High- Performance Computing in Remote Sensing detection and discrimination. This technique...
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high performance computing in science and engineering '10 transactions of the high performance computing center, stuttgart (hlrs) 2010

high performance computing in science and engineering '10 transactions of the high performance computing center, stuttgart (hlrs) 2010

... (eds.), High Performance Computing in Scienceand Engineering ’10,DOI10.1007/97 8-3 -6 4 2-1 574 8-6 3,© Springer-Verlag Berlin Heidelberg 201129Massive and Massless Four-Loop Integrals 23Fig. 2. CPU-time ... exhibited a crossover in the system’s responseW.E. Nagel et al. (eds.), High Performance Computing in Scienceand Engineering ’10,DOI10.1007/97 8-3 -6 4 2-1 574 8-6 1,© Springer-Verlag Berlin Heidelberg ... one processor which combinesW.E. Nagel et al. (eds.), High Performance Computing in Scienceand Engineering ’10,DOI10.1007/97 8-3 -6 4 2-1 574 8-6 2,© Springer-Verlag Berlin Heidelberg 201119Preface...
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