most citedPredicting Post-Route Quality of Results Estimates for HLS Designs using Machine Learning

8 citations · 9 across the 2 of their papers we have counts for

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cs.AR2022★ 8 cited

Predicting Post-Route Quality of Results Estimates for HLS Designs using Machine Learning

Pingakshya Goswami, Dinesh Bhatia

Machine learning (ML) has been widely used to improve the predictability of EDA tools. The use of CAD tools that express designs at higher levels of abstraction makes machine learn…

cs.AR2020★ 1 cited

Automated Floorplanning for Partially Reconfigurable Designs on Heterogenrous FPGAs

Pingakshya Goswami, Dinesh Bhatia

Floorplanning problem has been extensively explored for homogeneous FPGAs. Most modern FPGAs consist of heterogeneous resources in the form of configurable logic blocks, DSP blocks…