32 citations · 46 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-based Systems
Suresh Nambi, Salim Ullah, Aditya Lohana +3
The recent advances in machine learning, in general, and Artificial Neural Networks (ANN), in particular, has made smart embedded systems an attractive option for a larger number o…