Mengtian Yang

Orcid: 0000-0002-7051-2250

According to our database1, Mengtian Yang authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
30.6 Vecim: A 289.13GOPS/W RISC-V Vector Co-Processor with Compute-in-Memory Vector Register File for Efficient High-Performance Computing.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

Power and EM Side-Channel-Attack-Resilient AES-128 Core with Round-Aligned Globally-Synchronous-Locally-Asynchronous Operation Based on Tunable Replica Circuits.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

CILP: An Arbitrary-bit Precision All-digital Compute-in-memory Solver for Integer Linear Programming Problems.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

2023
Snap-SAT: A One-Shot Energy-Performance-Aware All-Digital Compute-in-Memory Solver for Large-Scale Hard Boolean Satisfiability Problems.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

A 118 GOPS/mm<sup>2</sup>3D eDRAM TensorCore Architecture for Large-scale Matrix Multiplication.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

CIMGN: An Energy-efficient All-digital Compute-in-memory Graph Neural Network Processor.
Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

A GNN Computing-in-Memory Macro and Accelerator with Analog-Digital Hybrid Transformation and CAMenabled Search-reduce.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

2022
Ising-CIM: A Reconfigurable and Scalable Compute Within Memory Analog Ising Accelerator for Solving Combinatorial Optimization Problems.
IEEE J. Solid State Circuits, 2022

SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning.
CoRR, 2022

2021
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators.
Proceedings of the IEEE International Symposium on Workload Characterization, 2021

NAAS: Neural Accelerator Architecture Search.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021


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