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Mengtian Yang

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2020 – today

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2024
[c9]
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  - conf/cicc/YangWXLWOSK24
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Mengtian Yang, Yipeng Wang, Shanshan Xie, Chieh-Pu Lo, Meizhi Wang, Sirish Oruganti, Rishabh Sehgal, Jaydeep P. Kulkarni:
CILP: An Arbitrary-bit Precision All-digital Compute-in-memory Solver for Integer Linear Programming Problems. CICC 2024: 1-2
[c8]
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Sirish Oruganti, Meizhi Wang, Vishnuvardhan V. Iyer, Yipeng Wang, Mengtian Yang, Raghavan Kumar, Sanu K. Mathew, Jaydeep P. Kulkarni:
Power and EM Side-Channel-Attack-Resilient AES-128 Core with Round-Aligned Globally-Synchronous-Locally-Asynchronous Operation Based on Tunable Replica Circuits. ISSCC 2024: 308-310
[c7]
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Yipeng Wang, Mengtian Yang, Chieh-Pu Lo, Jaydeep P. Kulkarni:
30.6 Vecim: A 289.13GOPS/W RISC-V Vector Co-Processor with Compute-in-Memory Vector Register File for Efficient High-Performance Computing. ISSCC 2024: 492-494
2023
[c6]
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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
[c5]
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  - conf/esscirc/WangYXWK23
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Yipeng Wang, Mengtian Yang, Shanshan Xie, Meizhi Wang, Jaydeep P. Kulkarni:
CIMGN: An Energy-efficient All-digital Compute-in-memory Graph Neural Network Processor. ESSCIRC 2023: 477-480
[c4]
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Mengtian Yang, Yipeng Wang, Jaydeep P. Kulkarni:
A 118 GOPS/mm²3D eDRAM TensorCore Architecture for Large-scale Matrix Multiplication. HiPC 2023: 61-65
[c3]
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  - conf/isscc/XieYLWWOK23
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Shanshan Xie, Mengtian Yang, S. Andrew Lanham, Yipeng Wang, Meizhi Wang, Sirish Oruganti, Jaydeep P. Kulkarni:
Snap-SAT: A One-Shot Energy-Performance-Aware All-Digital Compute-in-Memory Solver for Large-Scale Hard Boolean Satisfiability Problems. ISSCC 2023: 420-421
2022
[j1]
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Shanshan Xie, Siddhartha Raman Sundara Raman, Can Ni, Meizhi Wang, Mengtian Yang, Jaydeep P. Kulkarni:
Ising-CIM: A Reconfigurable and Scalable Compute Within Memory Analog Ising Accelerator for Solving Combinatorial Optimization Problems. IEEE J. Solid State Circuits 57(11): 3453-3465 (2022)
[i3]
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  - journals/corr/abs-2202-00075
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Zihui Xue, Yuedong Yang, Mengtian Yang, Radu Marculescu:
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning. CoRR abs/2202.00075 (2022)
2021
[c2]
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  - conf/dac/LinY021
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Yujun Lin, Mengtian Yang, Song Han:
NAAS: Neural Accelerator Architecture Search. DAC 2021: 1051-1056
[c1]
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  - conf/iiswc/ZhouYGLLCGZ21
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Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu:
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. IISWC 2021: 214-225
[i2]
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  - journals/corr/abs-2105-13258
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Yujun Lin, Mengtian Yang, Song Han:
NAAS: Neural Accelerator Architecture Search. CoRR abs/2105.13258 (2021)
[i1]
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  - journals/corr/abs-2110-03901
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Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu:
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. CoRR abs/2110.03901 (2021)

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