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Pingakshya Goswami
Pingakshya Goswami
Verified email at utdallas.edu - Homepage
Title
Cited by
Cited by
Year
Memory Optimization Techniques for FPGA based CNN Implementations
M Shahshahani, P Goswami, D Bhatia
2018 IEEE 13th Dallas Circuits and Systems Conference (DCAS), 10.1109/DCAS …, 2018
172018
Congestion prediction in fpga using regression based learning methods
P Goswami, D Bhatia
Electronics 10 (16), 1995, 2021
102021
Machine learning based fast and accurate High Level Synthesis design space exploration: From graph to synthesis
P Goswami, BC Schaefer, D Bhatia
Integration 88, 116-124, 2023
62023
Predicting post-route quality of results estimates for HLS designs using machine learning
P Goswami, D Bhatia
2022 23rd International Symposium on Quality Electronic Design (ISQED), 45-50, 2022
52022
Mlsbench: A benchmark set for machine learning based fpga hls design flows
P Goswami, M Shahshahani, D Bhatia
2022 IEEE 13th Latin America Symposium on Circuits and System (LASCAS), 1-4, 2022
52022
Mlsbench: A synthesizable dataset of hls designs to support ml based design flows
P Goswami, M Shahshahani, D Bhatia
Proceedings of the 2020 ACM/SIGDA International Symposium on Field …, 2020
42020
Robust estimation of fpga resources and performance from cnn models
P Goswami, M Shahshahani, D Bhatia
2022 35th International Conference on VLSI Design and 2022 21st …, 2022
22022
Improvement of handoff latency by GPS based handoff technique
D Sarddar, S Chatterjee, P Goswami, SK Bose, SS Babu, U Biswas, ...
International Journal of Computer Application (0975-8887) 25 (4), 14-20, 2011
22011
Design and Development of Unmanned Ground Vehicles for Implementation in Urban Roads
P Goswami, S Boishya, R Ranjan, MK Naskar
Proceedings of IJCA Special Issues on “2nd National Conference-Computing …, 2011
22011
Machine Learning Based Prediction in FPGA CAD
P Goswami
12022
Automated Floorplanning for Partially Reconfigurable Designs on Heterogenrous FPGAs
P Goswami, D Bhatia
arXiv preprint arXiv:2011.11716, 2020
12020
Resource aware floorplanning of partially reconfigurable designs on heterogeneous FPGA
P Goswami
The University of Texas at Dallas, 2015
12015
Application of Machine Learning in FPGA EDA Tool Development
P Goswami, D Bhatia
IEEE Access, 2023
2023
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