An Energy-Efficient Reconfigurable LSTM Accelerator for Natural Language Processing. - Elham Azari; Sarma B. K. Vrudhula (IEEE BigData, 2019)

An Energy-Efficient FPGA Implementation of an LSTM Network Using Approximate Computing. - Elham Azari; Aykut Dengi; Sarma B. K. Vrudhula (FPGA, 2019)

Embedding Binary Perceptrons in FPGA to improve Area, Power and Performance. - Ankit Wagle; Elham Azari; Sarma B. K. Vrudhula (ICCAD, 2019)

A Statistical Methodology for Post-Fabrication Weight Tuning in a Binary Perceptron. - Elham Azari; Ankit Wagle; Sunil P. Khatri; Sarma B. K. Vrudhula (ISQED, 2020)

ELSA: A Throughput-Optimized Design of an LSTM Accelerator for Energy-Constrained Devices. - Elham Azari; Sarma B. K. Vrudhula (ACM Trans. Embed. Comput. Syst., 2020)