activity
20132025
most citedEmbedded Online Optimization for Model Predictive Control at Megahertz Rates

257 citations · 483 across the 39 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.DS2022

Combining E-Graphs with Abstract Interpretation

Samuel Coward, George A. Constantinides, Theo Drane

E-graphs are a data structure that compactly represents equivalent expressions. They are constructed via the repeated application of rewrite rules. Often in practical applications,…

cs.AR2022★ 1 cited

Automatic Datapath Optimization using E-Graphs

Samuel Coward, George A. Constantinides, Theo Drane

Manual optimization of Register Transfer Level (RTL) datapath is commonplace in industry but holds back development as it can be very time consuming. We utilize the fact that a com…

cs.LO2022★ 1 cited

Abstract Interpretation on E-Graphs

Samuel Coward, George A. Constantinides, Theo Drane

Recent e-graph applications have typically considered concrete semantics of expressions, where the notion of equivalence stems from concrete interpretation of expressions. However,…

cs.SE2022★ 1 cited

High-level Synthesis using the Julia Language

Benjamin Biggs, Ian McInerney, Eric C. Kerrigan +1

The growing proliferation of FPGAs and High-level Synthesis (HLS) tools has led to a large interest in designing hardware accelerators for complex operations and algorithms. Howeve…

cs.LG2022★ 11 cited

Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference

Erwei Wang, James J. Davis, Georgios-Ilias Stavrou +3

FPGA-specific DNN architectures using the native LUTs as independently trainable inference operators have been shown to achieve favorable area-accuracy and energy-accuracy tradeoff…