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ORCIDPragnesh Patel
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2020 – today
- 2023
[c6]Maitrik Shah, Mehul S. Raval, Srikrishnan Divakaran, Pragnesh Patel:
Study and Impact Analysis of Data Shift in Deep Learning Based Atmospheric Correction. IGARSS 2023: 6728-6731- 2022
- [c5]Pragnesh Patel, Aman Arora
, Earl E. Swartzlander Jr., Lizy K. John:
LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning. ISQED 2022: 1-7 - 2021
- [c4]Aman Arora, Andrew Boutros, Daniel Rauch, Aishwarya Rajen, Aatman Borda, Seyed Alireza Damghani, Samidh Mehta, Sangram Kate, Pragnesh Patel, Kenneth B. Kent, Vaughn Betz, Lizy K. John:
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. FPL 2021: 355-362 - [i2]Aman Arora, Andrew Boutros, Daniel Rauch, Aishwarya Rajen, Aatman Borda, Seyed Alireza Damghani, Samidh Mehta, Sangram Kate, Pragnesh Patel, Kenneth B. Kent, Vaughn Betz, Lizy K. John:
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. CoRR abs/2106.07087 (2021)
2010 – 2019
- 2014
- [c3]Omar ElTayeby, Dwayne John, Pragnesh Patel, Scott Simmerman:
Comparative case study between D3 and highcharts on lustre data visualization. Visualization and Data Analysis 2014: 90170U - [i1]Doug James, Nancy Wilkins-Diehr, Victoria Stodden, Dirk Colbry, Carlos Rosales, Mark R. Fahey, Justin Shi, Rafael Ferreira da Silva, Kyo Lee, Ralph Roskies, Laurence Loewe, Susan Lindsey, Rob Kooper, Lorena A. Barba, David H. Bailey, Jonathan M. Borwein, Óscar Corcho, Ewa Deelman, Michael C. Dietze, Benjamin Gilbert, Jan Harkes, Seth Keele, Praveen Kumar, Jong Lee, Erika Linke, Richard Marciano, Luigi Marini, Chris Mattmann, Dave Mattson, Kenton McHenry, Robert T. McLay, Sheila Miguez, Barbara S. Minsker, María S. Pérez-Hernández, Dan Ryan, Mats Rynge, Idafen Santana-Pérez, Mahadev Satyanarayanan, Gloriana St. Clair, Keith Webster, Eivind Hovig, Daniel S. Katz, Sophie Kay, Geir Kjetil Sandve, David Skinner, Gabrielle Allen, John Cazes, Kym Won Cho, Jim Fonseca, Lorraine J. Hwang, Lars Koesterke, Pragnesh Patel, Line Pouchard, Edward Seidel, Isuru Suriarachchi:
Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE. CoRR abs/1412.5557 (2014) - 2013
- [c2]Omar ElTayeby, Dwayne John, Pragnesh Patel, Scott Simmerman:
Comparative case study between D3 & Highcharts on Lustre metadata visualization. LDAV 2013: 127-128
2000 – 2009
- 2009
- [c1]Min Nie, Pragnesh Patel, Kai Sun, Dennis Desheng Meng:
Superhydrophilic anti-fog polyester film by oxygen plasma treatment. NEMS 2009: 1017-1020
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