Pingakshya Goswami

Orcid: 0000-0003-0614-6599

According to our database1, Pingakshya Goswami authored at least 8 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Machine learning based fast and accurate High Level Synthesis design space exploration: From graph to synthesis.
Integr., 2023

Application of Machine Learning in FPGA EDA Tool Development.
IEEE Access, 2023

2022
Robust Estimation of FPGA Resources and Performance from CNN Models.
Proceedings of the 35th International Conference on VLSI Design and 2022 21st International Conference on Embedded Systems, 2022

MLSBench: A Benchmark Set for Machine Learning based FPGA HLS Design Flows.
Proceedings of the 13th IEEE Latin America Symposium on Circuits and System, 2022

Predicting Post-Route Quality of Results Estimates for HLS Designs using Machine Learning.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

2020
Automated Floorplanning for Partially Reconfigurable Designs on Heterogenrous FPGAs.
CoRR, 2020

MLSBench: A Synthesizable Dataset of HLS Designs to Support ML Based Design Flows.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

2016
Floorplanning of Partially Reconfigurable Design on Heterogeneous FPGA (Abstract Only).
Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016


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