Jacob R. Stevens

16 papers A* 5A 3B 1Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
ML-Enhanced Performance and Power Estimation for DNNs on Heterogenous SoCs.
MLCAD
Surya Selvam, Jacob R. Stevens, Sujit Dey, Anand Raghunathan
2023 J jnl
X-Former: In-Memory Acceleration of Transformers.
CoRR
Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy, Anand Raghunathan
2023 J jnl
X-Former: In-Memory Acceleration of Transformers.
IEEE Trans. Very Large Scale Integr. Syst.
Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy, Anand Raghunathan
2022 B conf
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models.
IJCNN
Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens, Anand Raghunathan
2022 A* conf
Efficient ensembles of graph neural networks.
DAC
Amrit Nagarajan, Jacob R. Stevens, Anand Raghunathan
2021 A* conf
GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks.
DAC
Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul, Anand Raghunathan
2021 J jnl
GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks.
CoRR
Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul, Anand Raghunathan
2021 A* conf
Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers.
DAC
Jacob R. Stevens, Rangharajan Venkatesan, Steve Dai, Brucek Khailany, Anand Raghunathan
2021 J jnl
Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers.
CoRR
Jacob R. Stevens, Rangharajan Venkatesan, Steve Dai, Brucek Khailany, Anand Raghunathan
2020 A conf
Emerging Neural Workloads and Their Impact on Hardware.
DATE
David Brooks, 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, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin
2020 J jnl
Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models.
CoRR
Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens, Anand Raghunathan
2019 A* conf
Manna: An Accelerator for Memory-Augmented Neural Networks.
MICRO
Jacob R. Stevens, Ashish Ranjan, Dipankar Das, Bharat Kaul, Anand Raghunathan
2019 A* conf
X-MANN: A Crossbar based Architecture for Memory Augmented Neural Networks.
DAC
Ashish Ranjan, Shubham Jain, Jacob R. Stevens, Dipankar Das, Bharat Kaul, Anand Raghunathan
2018 A conf
ACCLIB: Accelerators as libraries.
DATE
Jacob R. Stevens, Yue Du, Vivek Kozhikkott, Anand Raghunathan
2018 A conf
AxBA: an approximate bus architecture framework.
ICCAD
Jacob R. Stevens, Ashish Ranjan, Anand Raghunathan
2017 J jnl
Energy-Aware Memory Mapping for Hybrid FRAM-SRAM MCUs in Intermittently-Powered IoT Devices.
ACM Trans. Embed. Comput. Syst.
Hrishikesh Jayakumar, Arnab Raha, Jacob R. Stevens, Vijay Raghunathan