Energy-Aware Memory Mapping for Hybrid FRAM-SRAM MCUs in Intermittently-Powered IoT Devices. - Hrishikesh Jayakumar; Arnab Raha; Jacob R. Stevens; Vijay Raghunathan (ACM Trans. Embed. Comput. Syst., 2017)

ACCLIB: Accelerators as libraries. - Jacob R. Stevens; Yue Du; Vivek Kozhikkott; Anand Raghunathan (DATE, 2018)

AxBA: an approximate bus architecture framework. - Jacob R. Stevens; Ashish Ranjan 001; Anand Raghunathan (ICCAD, 2018)

X-MANN: A Crossbar based Architecture for Memory Augmented Neural Networks. - Ashish Ranjan 001; Shubham Jain; Jacob R. Stevens; Dipankar Das 002; Bharat Kaul; Anand Raghunathan (DAC, 2019)

Manna: An Accelerator for Memory-Augmented Neural Networks. - Jacob R. Stevens; Ashish Ranjan 001; Dipankar Das 002; Bharat Kaul; Anand Raghunathan (MICRO, 2019)

Emerging Neural Workloads and Their Impact on Hardware. - David Brooks 001; Martin M. Frank; Tayfun Gokmen; Udit Gupta; Xiaobo Sharon Hu; Shubham Jain; Ann Franchesca Laguna; Michael T. Niemier; Ian O'Connor; Anand Raghunathan; Ashish Ranjan 001; Dayane Reis; et al. (DATE, 2020)

Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models. - Amrit Nagarajan; Sanchari Sen; Jacob R. Stevens; Anand Raghunathan (CoRR, 2020)

GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks. - Jacob R. Stevens; Dipankar Das 002; Sasikanth Avancha; Bharat Kaul; Anand Raghunathan (DAC, 2021)

Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers. - Jacob R. Stevens; Rangharajan Venkatesan; Steve Dai; Brucek Khailany; Anand Raghunathan (DAC, 2021)

Efficient ensembles of graph neural networks. - Amrit Nagarajan; Jacob R. Stevens; Anand Raghunathan (DAC, 2022)

AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models. - Amrit Nagarajan; Sanchari Sen; Jacob R. Stevens; Anand Raghunathan (IJCNN, 2022)

X-Former: In-Memory Acceleration of Transformers. - Shrihari Sridharan; Jacob R. Stevens; Kaushik Roy 001; Anand Raghunathan (IEEE Trans. Very Large Scale Integr. Syst., 2023)