3 papers
cs.AR2025
AxOSyn: An Open-source Framework for Synthesizing Novel Approximate Arithmetic Operators
Siva Satyendra Sahoo, Salim Ullah, Akash Kumar
Edge AI deployments are becoming increasingly complex, necessitating energy-efficient solutions for resource-constrained embedded systems. Approximate computing, which allows for c…
cs.AR2023
AxOMaP: Designing FPGA-based Approximate Arithmetic Operators using Mathematical Programming
Siva Satyendra Sahoo, Salim Ullah, Akash Kumar
With the increasing application of machine learning (ML) algorithms in embedded systems, there is a rising necessity to design low-cost computer arithmetic for these resource-const…
cs.AR2023
AxOCS: Scaling FPGA-based Approximate Operators using Configuration Supersampling
Siva Satyendra Sahoo, Salim Ullah, Soumyo Bhattacharjee +1
The rising usage of AI and ML-based processing across application domains has exacerbated the need for low-cost ML implementation, specifically for resource-constrained embedded sy…