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