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Jacob N. Rohan

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Conference and Workshop Papers

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2023
[c4]
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Yipeng Wang, Shanshan Xie, Jacob N. Rohan, Meizhi Wang, Mengtian Yang, Sirish Oruganti, Jaydeep P. Kulkarni:
A GNN Computing-in-Memory Macro and Accelerator with Analog-Digital Hybrid Transformation and CAMenabled Search-reduce. CICC 2023: 1-2
2021
[c3]
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Jacob N. Rohan, Jaydeep P. Kulkarni:
Realizing Direct Convolution in Memory with Systolic-RAM. A-SSCC 2021: 1-3
[c2]
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Ben Feinberg, Ryan Wong, T. Patrick Xiao, Christopher H. Bennett, Jacob N. Rohan, Erik G. Boman, Matthew J. Marinella, Sapan Agarwal, Engin Ipek:
An Analog Preconditioner for Solving Linear Systems. HPCA 2021: 761-774
2019
[c1]
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Jacob N. Rohan, Pingping Zhuang, S. S. Teja Nibhanupudi, Sanjay Kumar Banerjee, Jaydeep P. Kulkarni:
Neural Network Assisted Compact Model for Accurate Characterization of Cycle-to-cycle Variations in 2-D $h$-BN based RRAM devices. DRC 2019: 103-104

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