11 citations · 12 across the 3 of their papers we have counts for
3 papers
Approximate Multiplier Induced Error Propagation in Deep Neural Networks
A. M. H. H. Alahakoon, Hassaan Saadat, Darshana Jayasinghe +1
Deep Neural Networks (DNNs) rely heavily on dense arithmetic operations, motivating the use of Approximate Multipliers (AxMs) to reduce energy consumption in hardware accelerators.…
Efficient Real-Time Selective Genome Sequencing on Resource-Constrained Devices
Po Jui Shih, Hassaan Saadat, Sri Parameswaran +1
Third-generation nanopore sequencers offer a feature called selective sequencing or 'Read Until' that allows genomic reads to be analyzed in real-time and abandoned halfway, if not…
ApproxTrain: Fast Simulation of Approximate Multipliers for DNN Training and Inference
Jing Gong, Hassaan Saadat, Hasindu Gamaarachchi +3
Edge training of Deep Neural Networks (DNNs) is a desirable goal for continuous learning; however, it is hindered by the enormous computational power required by training. Hardware…