A Novel Inference Algorithm for Large Sparse Neural Network using Task Graph Parallelism. - Dian-Lun Lin; Tsung-Wei Huang (HPEC, 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)

An Experimental Study of SYCL Task Graph Parallelism for Large-Scale Machine Learning Workloads. - Cheng-Hsiang Chiu; Dian-Lun Lin; Tsung-Wei Huang (Euro-Par Workshops, 2021)

Efficient GPU Computation Using Task Graph Parallelism. - Dian-Lun Lin; Tsung-Wei Huang (Euro-Par, 2021)

From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus. - Dian-Lun Lin; Haoxing Ren; Yanqing Zhang 002; Brucek Khailany; Tsung-Wei Huang (ICPP, 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)

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)

Accelerating Large Sparse Neural Network Inference Using GPU Task Graph Parallelism. - Dian-Lun Lin; Tsung-Wei Huang (IEEE Trans. Parallel Distributed Syst., 2022)

GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs. - Dian-Lun Lin; Yanqing Zhang 002; Haoxing Ren; Brucek Khailany; Shih-Hsin Wang; Tsung-Wei Huang (DAC, 2023)

Invited Paper: Programming Dynamic Task Parallelism for Heterogeneous EDA Algorithms. - Cheng-Hsiang Chiu; Dian-Lun Lin; Tsung-Wei Huang (ICCAD, 2023)

Parallel And-Inverter Graph Simulation Using a Task-graph Computing System. - Elmir Dzaka; Dian-Lun Lin; Tsung-Wei Huang (IPDPS Workshops, 2023)

Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search. - Shao-Hung Chan; Zhe Chen 016; Dian-Lun Lin; Yue Zhang 048; Daniel Harabor; Sven Koenig; Tsung-Wei Huang; Thomy Phan (AAMAS, 2024)

Ink: Efficient Incremental k-Critical Path Generation. - Che Chang; Tsung-Wei Huang; Dian-Lun Lin; Guannan Guo; Shiju Lin (DAC, 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 001 (DAC, 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 (DAC, 2024)

TaroRTL: Accelerating RTL Simulation Using Coroutine-Based Heterogeneous Task Graph Scheduling. - Dian-Lun Lin; Umit Ogras; Joshua San Miguel; Tsung-Wei Huang (Euro-Par (3), 2024)

Parallel and Heterogeneous Timing Analysis: Partition, Algorithm, and System. - Tsung-Wei Huang; Boyang Zhang; Dian-Lun Lin; Cheng-Hsiang Chiu (ISPD, 2024)

PathGen: An Efficient Parallel Critical Path Generation Algorithm. - Che Chang; Boyang Zhang; Cheng-Hsiang Chiu; Dian-Lun Lin; Yi-Hua Chung; Wan-Luan Lee; Zizheng Guo; Yibo Lin; Tsung-Wei Huang (ASP-DAC, 2025)

HyperG: Multilevel GPU-Accelerated k-way Hypergraph Partitioner. - Wan-Luan Lee; Dian-Lun Lin; Cheng-Hsiang Chiu; Ulf Schlichtmann; Tsung-Wei Huang (ASP-DAC, 2025)

iTAP: An Incremental Task Graph Partitioner for Task-parallel Static Timing Analysis. - Boyang Zhang; Che Chang; Cheng-Hsiang Chiu; Dian-Lun Lin; Yang Sui; Chih-Chun Chang; Yi-Hua Chung; Wan-Luan Lee; Zizheng Guo; Yibo Lin; Tsung-Wei Huang (ASP-DAC, 2025)