Zobrazeno 1 - 10
of 161
pro vyhledávání: '"A. P. Kesarkar"'
Helicity: A Possible Indicator of Negative Feedback Initiation of Tropical Cyclone–Ocean Interaction
Publikováno v:
Earth and Space Science, Vol 11, Iss 1, Pp n/a-n/a (2024)
Abstract The development of large‐scale vortex dynamo during tropical cyclogenesis through the mutual intensification of primary and secondary circulation in terms of helical evolution is well studied. However, the influence of atmospheric helicity
Externí odkaz:
https://doaj.org/article/a599c57506bf4b97991d38116b9d7810
Autor:
A. Biswal, V. Singh, S. Singh, A. P. Kesarkar, K. Ravindra, R. S. Sokhi, M. P. Chipperfield, S. S. Dhomse, R. J. Pope, T. Singh, S. Mor
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 5235-5251 (2021)
We have estimated the spatial changes in NO2 levels over different regions of India during the COVID-19 lockdown (25 March–3 May 2020) using the satellite-based tropospheric column NO2 observed by the Ozone Monitoring Instrument (OMI) and the Tropo
Externí odkaz:
https://doaj.org/article/7314512eceea485db2473f3b1c8a8bd3
We have employed equation-of-motion coupled-cluster (EOM-CC) method in the four-component relativistic theory framework to understand roles of electron correlation effects in the $\textit{ab initio}$ estimations of electric dipole polarizabilities ($
Externí odkaz:
http://arxiv.org/abs/2312.16879
Autor:
S. S. Das, M. V. Ratnam, K. N. Uma, K. V. Subrahmanyam, I. A. Girach, A. K. Patra, S. Aneesh, K. V. Suneeth, K. K. Kumar, A. P. Kesarkar, S. Sijikumar, G. Ramkumar
Publikováno v:
Atmospheric Chemistry and Physics, Vol 16, Pp 4837-4847 (2016)
The present study examines the role of tropical cyclones in the enhancement of tropospheric ozone. The most significant and new observation reported is the increase in the upper-tropospheric (10–16 km) ozone by 20–50 ppbv, which has extended d
Externí odkaz:
https://doaj.org/article/f04e94ad410d4b6b9dd080ad0b6a0cf7
Publikováno v:
Atmospheric Measurement Techniques, Vol 8, Iss 1, Pp 369-384 (2015)
The retrieval of accurate profiles of temperature and water vapour is important for the study of atmospheric convection. Recent development in computational techniques motivated us to use adaptive techniques in the retrieval algorithms. In this work,
Externí odkaz:
https://doaj.org/article/a3fea63b6e17436c9fed60fd8eaf635b
Autor:
A. Jayaraman, M. Venkat Ratnam, A. K. Patra, T. Narayana Rao, S. Sridharan, M. Rajeevan, H. Gadhavi, A. P. Kesarkar, P. Srinivasulu, K. Raghunath
Publikováno v:
Annales Geophysicae, Vol 28, Pp 89-101 (2010)
Study of Atmospheric Forcing and Responses (SAFAR) is a five year (2009–2014) research programme specifically to address the responses of the earth's atmosphere to both natural and anthropogenic forcings using a host of collocated instruments op
Externí odkaz:
https://doaj.org/article/96f9c4cd29d942d0bbb65d1340cb212f
Autor:
Anderson, Michael, Chen, Benny, Chen, Stephen, Deng, Summer, Fix, Jordan, Gschwind, Michael, Kalaiah, Aravind, Kim, Changkyu, Lee, Jaewon, Liang, Jason, Liu, Haixin, Lu, Yinghai, Montgomery, Jack, Moorthy, Arun, Nadathur, Satish, Naghshineh, Sam, Nayak, Avinash, Park, Jongsoo, Petersen, Chris, Schatz, Martin, Sundaram, Narayanan, Tang, Bangsheng, Tang, Peter, Yang, Amy, Yu, Jiecao, Yuen, Hector, Zhang, Ying, Anbudurai, Aravind, Balan, Vandana, Bojja, Harsha, Boyd, Joe, Breitbach, Matthew, Caldato, Claudio, Calvo, Anna, Catron, Garret, Chandwani, Sneh, Christeas, Panos, Cottel, Brad, Coutinho, Brian, Dalli, Arun, Dhanotia, Abhishek, Duncan, Oniel, Dzhabarov, Roman, Elmir, Simon, Fu, Chunli, Fu, Wenyin, Fulthorp, Michael, Gangidi, Adi, Gibson, Nick, Gordon, Sean, Hernandez, Beatriz Padilla, Ho, Daniel, Huang, Yu-Cheng, Johansson, Olof, Juluri, Shishir, Kanaujia, Shobhit, Kesarkar, Manali, Killinger, Jonathan, Kim, Ben, Kulkarni, Rohan, Lele, Meghan, Li, Huayu, Li, Huamin, Li, Yueming, Liu, Cynthia, Liu, Jerry, Maher, Bert, Mallipedi, Chandra, Mangla, Seema, Matam, Kiran Kumar, Mehta, Jubin, Mehta, Shobhit, Mitchell, Christopher, Muthiah, Bharath, Nagarkatte, Nitin, Narasimha, Ashwin, Nguyen, Bernard, Ortiz, Thiara, Padmanabha, Soumya, Pan, Deng, Poojary, Ashwin, Ye, Qi, Raginel, Olivier, Rajagopal, Dwarak, Rice, Tristan, Ross, Craig, Rotem, Nadav, Russ, Scott, Shah, Kushal, Shan, Baohua, Shen, Hao, Shetty, Pavan, Skandakumaran, Krish, Srinivasan, Kutta, Sumbaly, Roshan, Tauberg, Michael, Tzur, Mor, Verma, Sidharth, Wang, Hao, Wang, Man, Wei, Ben, Xia, Alex, Xu, Chenyu, Yang, Martin, Zhang, Kai, Zhang, Ruoxi, Zhao, Ming, Zhao, Whitney, Zhu, Rui, Mathews, Ajit, Qiao, Lin, Smelyanskiy, Misha, Jia, Bill, Rao, Vijay
In this paper, we provide a deep dive into the deployment of inference accelerators at Facebook. Many of our ML workloads have unique characteristics, such as sparse memory accesses, large model sizes, as well as high compute, memory and network band
Externí odkaz:
http://arxiv.org/abs/2107.04140
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