Dian-Lun Lin

According to our database, Dian-Lun Lin authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Parallel and Heterogeneous Timing Analysis: Partition, Algorithm, and System.

Tsung-Wei Huang, Boyang Zhang, Dian-Lun Lin, Cheng-Hsiang Chiu

Proceedings of the 2024 International Symposium on Physical Design, 2024

TaroRTL: Accelerating RTL Simulation Using Coroutine-Based Heterogeneous Task Graph Scheduling.

Dian-Lun Lin, Umit Ogras, Joshua San Miguel, Tsung-Wei Huang

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

G-PASTA: GPU-Accelerated Partitioning Algorithm for Static Timing Analysis.

Boyang Zhang, Dian-Lun Lin, Che Chang, Cheng-Hsiang Chiu, Bojue Wang, Wan-Luan Lee, Chih-Chun Chang, Donghao Fang, Tsung-Wei Huang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

G-kway: Multilevel GPU-Accelerated k-way Graph Partitioner.

Wan Luan Lee, Dian-Lun Lin, Tsung-Wei Huang, Shui Jiang, Tsung-Yi Ho, Yibo Lin, Bei Yu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Ink: Efficient Incremental k-Critical Path Generation.

Che Chang, Tsung-Wei Huang, Dian-Lun Lin, Guannan Guo, Shiju Lin

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search.

Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, Thomy Phan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Parallel And-Inverter Graph Simulation Using a Task-graph Computing System.

Elmir Dzaka, Dian-Lun Lin, Tsung-Wei Huang

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Invited Paper: Programming Dynamic Task Parallelism for Heterogeneous EDA Algorithms.

Cheng-Hsiang Chiu, Dian-Lun Lin, Tsung-Wei Huang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs.

Dian-Lun Lin, Yanqing Zhang, Haoxing Ren, Brucek Khailany, Shih-Hsin Wang, Tsung-Wei Huang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Accelerating Large Sparse Neural Network Inference Using GPU Task Graph Parallelism.

Dian-Lun Lin, Tsung-Wei Huang

IEEE Trans. Parallel Distributed Syst., 2022

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System.

Tsung-Wei Huang, Dian-Lun Lin, Chun-Xun Lin, Yibo Lin

IEEE Trans. Parallel Distributed Syst., 2022

Taskflow: A General-Purpose Parallel and Heterogeneous Task Programming System.

Tsung-Wei Huang, Dian-Lun Lin, Yibo Lin, Chun-Xun Lin

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus.

Dian-Lun Lin, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Tsung-Wei Huang

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Efficient GPU Computation Using Task Graph Parallelism.

Dian-Lun Lin, Tsung-Wei Huang

Proceedings of the Euro-Par 2021: Parallel Processing, 2021

An Experimental Study of SYCL Task Graph Parallelism for Large-Scale Machine Learning Workloads.

Cheng-Hsiang Chiu, Dian-Lun Lin, Tsung-Wei Huang

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

2020

Cpp-Taskflow v2: A General-purpose Parallel and Heterogeneous Task Programming System at Scale.

Tsung-Wei Huang, Dian-Lun Lin, Yibo Lin, Chun-Xun Lin

CoRR, 2020

A Novel Inference Algorithm for Large Sparse Neural Network using Task Graph Parallelism.

Dian-Lun Lin, Tsung-Wei Huang

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020