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 ... processing systems so © 20 08 by Taylor & Francis Group, LLC High- Performance Computer Architectures for Remote Sensing 31 25 622 41 921 60 128 Number of CPUs...
Ngày tải lên: 12/08/2014, 03:20
High Performance Computing in Remote Sensing - Chapter 17 docx
... [ A 11 A 12 A 21 A 22 ]. Then its inverse matrix A −1 can be calculated as A 11 − A12A −1 22 A 21 −1 − A 11 − A12A −1 22 A 21 −1 A 12 A −1 22 − A 22 − A21A −1 11 A 12 −1 A 21 A −1 11 A 22 − ... (BSQ) P1 3 2 2 2 2 P2 3 2 2 2 2 P3 4 3 3 3 3 P4 3 2 2 2 2 P5 6 5 6 6 6 P6 3 2 2 2 2 P7 4 3 3 3 3 P8 4 3 3 3 3 P9 4 3 3 3 3 P10 4 3 3 3 3 Total...
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High Performance Computing in Remote Sensing - Chapter 4 pptx
... sum-to-one and non- negativity constraints (Eqs. 4 .2 and 4.3, respectively) are enforced, then the linear © 20 08 by Taylor & Francis Group, LLC 78 High- Performance Computing in Remote Sensing 50 45 40 35 30 25 Number ... unconstrained or nonnegatively constrained demixing. © 20 08 by Taylor & Francis Group, LLC 94 High- Performance Computing in Remote Sens...
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High Performance Computing in Remote Sensing - Chapter 7 potx
... Francis Group, LLC 148 High- Performance Computing in Remote Sensing 25 622 41 921 60 128 96 Number of CPUs 64 320 0 32 64 96 128 Speedup 160 1 92 Linear HeteroNEURAL HomoNEURAL 22 4 25 6 Figure 7.5 Scalability ... for high- performance computing in many ongoing and planned remote sensing missions [3, 11]. To address the need for cost-effective and innovative al...
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High Performance Computing in Remote Sensing - Chapter 8 pps
... Cluster I MAX 123 456 7 0 45.37 92. 81 135.15 180 .23 22 6.41 26 6.37 311.95 1 43.31 92. 63 135. 42 180.15 22 5.79 27 9.03 315.19 2 46.84 92. 15 134 .23 178.81 22 6.79 27 2. 02 314.95 3 45.73 92. 16 139.06 185. 82 226 .41 27 1.77 ... and BareSoil Buildings Concrete/Asphalt Corn Corn? Corn-EW Corn-NS Corn-CleanTill Corn-CleanTill-EW Corn-CleanTill-NS Corn-CleanTill-NS-Irrigated Co...
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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 Tools Thus far, we have described the service-oriented ... representation using content-oriented markup symbols that has gained wide-spread use in © 20 08 by Taylor & Francis Group, LLC 20 0 High- Performance Computing in Remote...
Ngày tải lên: 12/08/2014, 03:20
High Performance Computing in Remote Sensing - Chapter 11 pdf
... Profile Calculation Using the GOME NNO Algorithm 25 8 23 7 © 20 08 by Taylor & Francis Group, LLC 26 0 High- Performance Computing in Remote Sensing Figure 11.6 MERIS mosaic at 1.3 km resolution obtained in G-POD ... processors running either from the command line or invoked by VISAT. © 20 08 by Taylor & Francis Group, LLC 27 0 High- Performance Computing in...
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High Performance Computing in Remote Sensing - Chapter 14 pptx
... FOV Spectral-IFOV > 98% IFOVs uniformity over the spectral range © 20 08 by Taylor & Francis Group, LLC 344 High- Performance Computing in Remote Sensing 22 420 81 921 76160144 128 1 12 Channel (#) 96806448 321 60 0 500 1000 1500 20 00 Signal ... characteristics: 8 kg, 15 Watts, 25 ×18 × 12 cm. The M 3 instrument was built in 24 months. © 20 08 by Taylor & Fra...
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High Performance Computing in Remote Sensing - Chapter 18 (end) pptx
... Det in Listing 3) . © 20 08 by Taylor & Francis Group, LLC 422 High- Performance Computing in Remote Sensing Distribution converts loop-independent and forward-carried dependences into depen- dences ... LLC 420 High- Performance Computing in Remote Sensing In summary, GPU makers will continue the battle for dominance in the consumer gaming industry, producin...
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high performance computing in science and engineering '10 transactions of the high performance computing center, stuttgart (hlrs) 2010
... (eds.), High Performance Computing in Science and Engineering ’10,DOI10.1007/97 8-3 -6 4 2- 1 574 8-6 3, © Springer-Verlag Berlin Heidelberg 20 11 29 Massive and Massless Four-Loop Integrals 23 Fig. 2. CPU-time ... processor which combines W.E. Nagel et al. (eds.), High Performance Computing in Science and Engineering ’10,DOI10.1007/97 8-3 -6 4 2- 1 574 8-6...
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