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Jacob R. Stevens
Jacob R. Stevens
Integrated Systems Lab, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
Energy-aware memory mapping for hybrid FRAM-SRAM MCUs in intermittently-powered IoT devices
H Jayakumar, A Raha, JR Stevens, V Raghunathan
ACM Transactions on Embedded Computing Systems (TECS) 16 (3), 1-23, 2017
572017
Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers
JR Stevens, R Venkatesan, S Dai, B Khailany, A Raghunathan
2021 58th ACM/IEEE Design Automation Conference (DAC), 469-474, 2021
542021
X-MANN: A crossbar based architecture for memory augmented neural networks
A Ranjan, S Jain, JR Stevens, D Das, B Kaul, A Raghunathan
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
422019
AxBA: An approximate bus architecture framework
JR Stevens, A Ranjan, A Raghunathan
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018
302018
Manna: An Accelerator for Memory-Augmented Neural Networks
JR Stevens, A Ranjan, D Das, B Kaul, A Raghunathan
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
282019
Gnnerator: A hardware/software framework for accelerating graph neural networks
JR Stevens, D Das, S Avancha, B Kaul, A Raghunathan
2021 58th ACM/IEEE Design Automation Conference (DAC), 955-960, 2021
182021
Efficient softmax computation
JR Stevens, R Venkatesan, SH Dai, B Khailany
US Patent App. 17/112,795, 2022
112022
X-Former: In-Memory Acceleration of Transformers
S Sridharan, JR Stevens, K Roy, A Raghunathan
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023
102023
Efficient ensembles of graph neural networks
A Nagarajan, JR Stevens, A Raghunathan
Proceedings of the 59th ACM/IEEE Design Automation Conference, 187-192, 2022
72022
Emerging Neural Workloads and Their Impact on Hardware
D Brooks, MM Frank, T Gokmen, U Gupta, XS Hu, S Jain, AF Laguna, ...
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020
62020
Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models
A Nagarajan, S Sen, JR Stevens, A Raghunathan
arXiv preprint arXiv:2010.03688, 2020
52020
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models
A Nagarajan, S Sen, JR Stevens, A Raghunathan
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
32022
Accelerating Emerging Neural Workloads
JR Stevens
Purdue University Graduate School, 2021
2021
Specialized Transformers: Faster, Smaller and more Accurate NLP Models
A Nagarajan, S Sen, JR Stevens, A Raghunathan
2021
ACCLIB: Accelerators as libraries
JR Stevens, Y Du, V Kozhikkottu, A Raghunathan
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 245-248, 2018
2018
Purdue MicroBrewer: A Microcontroller Generator
JR Stevens, J Skubic, E Colter, M Swabey, M Johnson
RISC-V International Conference, 2017
2017
RISC-V Business: A Configurable, Extensible RISC-V Core
J Skubic, JR Stevens, CY Tan, M Johnson, M Swabey
RISC-V International Conference, 2017
2017
Demonstration of a Platform Architecture That Enables Ultra-Low Power IoT Applications
J Stevens, H Jayakumar, V Raghunathan
2015
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