Xiaoling Yi

Orcid: 0009-0003-3001-3611

According to our database1, Xiaoling Yi authored at least 19 papers between 2022 and 2026.

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Bibliography

2026
An Analytical Model for Performance-Carbon Co-Optimization of Edge AI Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2026

A 16 nm 1.60TOPS/W High Utilization DNN Accelerator with 3D Spatial Data Reuse and Efficient Shared Memory Access.
CoRR, February, 2026

Fine-Grained Classification for Depth Estimation From Monocular Microscopy for Robotic Micromanipulation of Motile Cells.
IEEE Robotics Autom. Lett., January, 2026

The Configuration Wall: Characterization and Elimination of Accelerator Configuration Overhead.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

Precision-Scalable Microscaling Datapaths with Optimized Reduction Tree for Efficient NPU Integration.
Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025
Torrent: A Distributed DMA for Efficient and Flexible Point-to-Multipoint Data Movement.
CoRR, December, 2025

Prior-Boosted GRL: Microarchitecture Design Space Exploration via Graph Representation Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2025

Flexible Hardware Accelerators for Ultra-Low Power Edge AI: The CONVOLVE Approach.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025

Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

An Open-Source HW-SW Co-Development Framework Enabling Efficient Multi-Accelerator Systems.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

XDMA: A Distributed, Extensible DMA Architecture for Layout-Flexible Data Movements in Heterogeneous Multi-Accelerator SoCs.
Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

DataMaestro: A Versatile and Efficient Data Streaming Engine Bringing Decoupled Memory Access To Dataflow Accelerators.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

OpenGeMM: A Highly-Efficient GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024
OpenGeMM: A High-Utilization GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling.
CoRR, 2024

SenseDSE: Sensitivity-Based Performance Evaluation for Design Space Exploration of Microarchitecture.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
TPNoC: An Efficient Topology Reconfigurable NoC Generator.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Graph Representation Learning for Microarchitecture Design Space Exploration.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
NNASIM: An Efficient Event-Driven Simulator for DNN Accelerators with Accurate Timing and Area Models.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

An Automated Compiler for RISC-V Based DNN Accelerator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022


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