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我們的平台就是把我們傳統的的地面超市以一種全新的經營模式搬到了互聯網上來 我們在網絡上買東西就跟到身邊超市買一樣，我們這個平台為全國的企業解決了產品的銷路問題，為企業增加了新的銷售渠道，消費者在購物的同時獲得積分獎勵，在消費中賺錢，經營者也能賺錢，三方受益！詳情請登陸視頻的我介紹21世紀最佳創業模式 http://e-ecosway.com/cn/fu16888/
這是個能幫助很多人走上高收入的事業機會,加QQ 937395564
Real-time processing for ATST
http://www.dur.ac.uk/cfai/adaptiveoptics/rtc2011/agenda/abstracts/#VV1
Vivek Venugopal (National Solar Observatory): Real-time control for the Advanced Technology Solar Telescope (20 minutes)
Real-time processing for Adaptive Optics (AO) systems is challenging as the motion vectors have to be computed to properly actuate the mirrors before the wavefront information has become obsolete. The four meter Advanced Technology Solar Telescope (ATST) will provide unprecedented resolution for solar observation due to its larger aperture. The ATST AO system with 2 kHz frame rate camera, 1750 sub-apertures and 1900 actuators requires massive parallel processing and this increased demand in computational horsepower is far from being manageable by conventional processors. Hardware accelerators such as Field Programmable Gate Array (FPGA) and Graphics Processing Unit (GPU) are better equipped to harness the the parallel processing requirements of such a system. We investigate the implementation of the data processing architecture for Shack-Hartmann correlation and the wavefront reconstruction using FPGAs and GPUs. We benchmark the AO algorithm implemented using FPGAs and GPUs and compare it with the existing legacy FPGA-Digital Signal Processing (DSP) based hardware system used in the 76cm Dunn Solar Telescope(DST).
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ecosway-opp
我們的平台就是把我們傳統的的地面超市以一種全新的經營模式搬到了互聯網上來 我們在網絡上買東西就跟到身邊超市買一樣，我們這個平台為全國的企業解決了產品的銷路問題，為企業增加了新的銷售渠道，消費者在購物的同時獲得積分獎勵，在消費中賺錢，經營者也能賺錢，三方受益！詳情請登陸視頻的我介紹21世紀最佳創業模式 http://e-ecosway.com/cn/fu16888/
這是個能幫助很多人走上高收入的事業機會,加QQ 937395564
Real-time processing for ATST
http://www.dur.ac.uk/cfai/adaptiveoptics/rtc2011/agenda/abstracts/#VV1
Vivek Venugopal (National Solar Observatory): Real-time control for the Advanced Technology Solar Telescope (20 minutes)
Real-time processing for Adaptive Optics (AO) systems is challenging as the motion vectors have to be computed to properly actuate the mirrors before the wavefront information has become obsolete. The four meter Advanced Technology Solar Telescope (ATST) will provide unprecedented resolution for solar observation due to its larger aperture. The ATST AO system with 2 kHz frame rate camera, 1750 sub-apertures and 1900 actuators requires massive parallel processing and this increased demand in computational horsepower is far from being manageable by conventional processors. Hardware accelerators such as Field Programmable Gate Array (FPGA) and Graphics Processing Unit (GPU) are better equipped to harness the the parallel processing requirements of such a system. We investigate the implementation of the data processing architecture for Shack-Hartmann correlation and the wavefront reconstruction using FPGAs and GPUs. We benchmark the AO algorithm implemented using FPGAs and GPUs and compare it with the existing legacy FPGA-Digital Signal Processing (DSP) based hardware system used in the 76cm Dunn Solar Telescope(DST).
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