Jacob R. Stevens

16 papers A* 5A 3B 1Journal 6Unranked 1

Year	Rank	Type	Title / 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