Jacob R. Stevens

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

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Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy, Anand Raghunathan
X-Former: In-Memory Acceleration of Transformers. IEEE Trans. Very Large Scale Integr. Syst. 31 (8) (2023)
Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy, Anand Raghunathan
X-Former: In-Memory Acceleration of Transformers. CoRR (2023)
Amrit Nagarajan, Jacob R. Stevens, Anand Raghunathan
Efficient ensembles of graph neural networks. DAC (2022)
Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens, Anand Raghunathan
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models. IJCNN (2022)
Jacob R. Stevens, Rangharajan Venkatesan, Steve Dai, Brucek Khailany, Anand Raghunathan
Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers. CoRR (2021)
Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul, Anand Raghunathan
GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks. CoRR (2021)
Jacob R. Stevens, Dipankar Das, Sasikanth Avancha, Bharat Kaul, Anand Raghunathan
GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks. DAC (2021)
Jacob R. Stevens, Rangharajan Venkatesan, Steve Dai, Brucek Khailany, Anand Raghunathan
Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers. DAC (2021)
Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens, Anand Raghunathan
Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models. CoRR (2020)
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
Emerging Neural Workloads and Their Impact on Hardware. DATE (2020)
Jacob R. Stevens, Ashish Ranjan, Dipankar Das, Bharat Kaul, Anand Raghunathan
Manna: An Accelerator for Memory-Augmented Neural Networks. MICRO (2019)
Ashish Ranjan, Shubham Jain, Jacob R. Stevens, Dipankar Das, Bharat Kaul, Anand Raghunathan
X-MANN: A Crossbar based Architecture for Memory Augmented Neural Networks. DAC (2019)
Jacob R. Stevens, Ashish Ranjan, Anand Raghunathan
AxBA: an approximate bus architecture framework. ICCAD (2018)
Jacob R. Stevens, Yue Du, Vivek Kozhikkott, Anand Raghunathan
ACCLIB: Accelerators as libraries. DATE (2018)
Hrishikesh Jayakumar, Arnab Raha, Jacob R. Stevens, Vijay Raghunathan
Energy-Aware Memory Mapping for Hybrid FRAM-SRAM MCUs in Intermittently-Powered IoT Devices. ACM Trans. Embed. Comput. Syst. 16 (3) (2017)