Yubin Qin

Orcid: 0000-0001-5530-5416

According to our database1, Yubin Qin authored at least 20 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Ayaka: A Versatile Transformer Accelerator With Low-Rank Estimation and Heterogeneous Dataflow.
IEEE J. Solid State Circuits, October, 2024

SOFA: A Compute-Memory Optimized Sparsity Accelerator via Cross-Stage Coordinated Tiling.
CoRR, 2024

A 52.01 TFLOPS/W Diffusion Model Processor with Inter-Time-Step Convolution-Attention-Redundancy Elimination and Bipolar Floating-Point Multiplication.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

A 22nm 54.94TFLOPS/W Transformer Fine-Tuning Processor with Exponent-Stationary Re-Computing, Aggressive Linear Fitting, and Logarithmic Domain Multiplicating.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

SOFA: A Compute-Memory Optimized Sparsity Accelerator via Cross-Stage Coordinated Tiling.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

34.1 A 28nm 83.23TFLOPS/W POSIT-Based Compute-in-Memory Macro for High-Accuracy AI Applications.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

20.2 A 28nm 74.34TFLOPS/W BF16 Heterogenous CIM-Based Accelerator Exploiting Denoising-Similarity for Diffusion Models.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024

Exploiting Similarity Opportunities of Emerging Vision AI Models on Hybrid Bonding Architecture.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

MECLA: Memory-Compute-Efficient LLM Accelerator with Scaling Sub-matrix Partition.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

FQP: A Fibonacci Quantization Processor with Multiplication-Free Computing and Topological-Order Routing.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023
An Energy-Efficient Transformer Processor Exploiting Dynamic Weak Relevances in Global Attention.
IEEE J. Solid State Circuits, 2023

A 28nm 77.35TOPS/W Similar Vectors Traceable Transformer Processor with Principal-Component-Prior Speculating and Dynamic Bit-wise Stationary Computing.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

FACT: FFN-Attention Co-optimized Transformer Architecture with Eager Correlation Prediction.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

A 28nm 49.7TOPS/W Sparse Transformer Processor with Random-Projection-Based Speculation, Multi-Stationary Dataflow, and Redundant Partial Product Elimination.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

2022
BR-CIM: An Efficient Binary Representation Computation-In-Memory Design.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

SWPU: A 126.04 TFLOPS/W Edge-Device Sparse DNN Training Processor With Dynamic Sub-Structured Weight Pruning.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Trainer: An Energy-Efficient Edge-Device Training Processor Supporting Dynamic Weight Pruning.
IEEE J. Solid State Circuits, 2022

A 28nm 27.5TOPS/W Approximate-Computing-Based Transformer Processor with Asymptotic Sparsity Speculating and Out-of-Order Computing.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022

2021
A 28nm 276.55TFLOPS/W Sparse Deep-Neural-Network Training Processor with Implicit Redundancy Speculation and Batch Normalization Reformulation.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

HPPU: An Energy-Efficient Sparse DNN Training Processor with Hybrid Weight Pruning.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021


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