Dian-Lun Lin

520 total citations
18 papers, 325 citations indexed

About

Dian-Lun Lin is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Dian-Lun Lin has authored 18 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hardware and Architecture, 7 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Dian-Lun Lin's work include Parallel Computing and Optimization Techniques (9 papers), Embedded Systems Design Techniques (8 papers) and VLSI and FPGA Design Techniques (5 papers). Dian-Lun Lin is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), Embedded Systems Design Techniques (8 papers) and VLSI and FPGA Design Techniques (5 papers). Dian-Lun Lin collaborates with scholars based in United States, China and Hong Kong. Dian-Lun Lin's co-authors include Tsung‐Wei Huang, Yibo Lin, Chun-Xun Lin, Brucek Khailany, Yanqing Zhang, Haoxing Ren, Bei Yu, Tsung-Yi Ho, Zizheng Guo and Ulf Schlichtmann and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and ACM Transactions on Design Automation of Electronic Systems.

In The Last Decade

Dian-Lun Lin

17 papers receiving 323 citations

Peers

Dian-Lun Lin
Guoyang Chen United States
R. Sridhar United States
Jeffrey Bosboom United States
Marcela Zuluaga Switzerland
Bin Nie United States
W. Böhm United States
Dian-Lun Lin
Citations per year, relative to Dian-Lun Lin Dian-Lun Lin (= 1×) peers Rainer Buchty

Countries citing papers authored by Dian-Lun Lin

Since Specialization
Citations

This map shows the geographic impact of Dian-Lun Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dian-Lun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian-Lun Lin more than expected).

Fields of papers citing papers by Dian-Lun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dian-Lun Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dian-Lun Lin. The network helps show where Dian-Lun Lin may publish in the future.

Co-authorship network of co-authors of Dian-Lun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Dian-Lun Lin. A scholar is included among the top collaborators of Dian-Lun Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dian-Lun Lin. Dian-Lun Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Lin, Dian-Lun, et al.. (2025). iTAP: An Incremental Task Graph Partitioner for Task-parallel Static Timing Analysis. 407–415. 5 indexed citations
2.
Lin, Dian-Lun, et al.. (2025). PathGen: An Efficient Parallel Critical Path Generation Algorithm. 416–424. 3 indexed citations
3.
Lin, Dian-Lun, et al.. (2025). G-kway: Multilevel GPU-Accelerated k-way Graph Partitioner using Task Graph Parallelism. ACM Transactions on Design Automation of Electronic Systems. 31(3). 1–26.
4.
Lin, Dian-Lun, et al.. (2025). HyperG: Multilevel GPU-Accelerated k-way Hypergraph Partitioner. 1031–1040. 6 indexed citations
5.
Lin, Dian-Lun, et al.. (2025). iG-kway: Incremental k-way Graph Partitioning on GPU. 1–7. 2 indexed citations
6.
Huang, Tsung‐Wei, et al.. (2024). Ink: Efficient Incremental k-Critical Path Generation. 1–6. 9 indexed citations
7.
Lin, Dian-Lun, et al.. (2024). G-PASTA: GPU-Accelerated Partitioning Algorithm for Static Timing Analysis. 1–6. 11 indexed citations
8.
Huang, Tsung‐Wei, et al.. (2024). Parallel and Heterogeneous Timing Analysis: Partition, Algorithm, and System. 51–59. 12 indexed citations
9.
Lin, Dian-Lun, et al.. (2024). G-kway: Multilevel GPU-Accelerated k-way Graph Partitioner. 1–6. 13 indexed citations
10.
Lin, Dian-Lun, et al.. (2023). GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs. 1–6. 27 indexed citations
11.
Lin, Dian-Lun, et al.. (2023). Invited Paper: Programming Dynamic Task Parallelism for Heterogeneous EDA Algorithms. 1–8. 7 indexed citations
12.
Lin, Dian-Lun, et al.. (2023). Parallel And-Inverter Graph Simulation Using a Task-graph Computing System. 923–929. 15 indexed citations
13.
Lin, Dian-Lun, Haoxing Ren, Yanqing Zhang, Brucek Khailany, & Tsung‐Wei Huang. (2022). From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus. 1–12. 30 indexed citations
14.
Huang, Tsung‐Wei, Dian-Lun Lin, Yibo Lin, & Chun-Xun Lin. (2021). Taskflow: A General-Purpose Parallel and Heterogeneous Task Programming System. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(5). 1448–1452. 25 indexed citations
15.
Lin, Dian-Lun & Tsung‐Wei Huang. (2021). Accelerating Large Sparse Neural Network Inference using GPU Task Graph Parallelism. IEEE Transactions on Parallel and Distributed Systems. 1–1. 23 indexed citations
16.
Huang, Tsung‐Wei, Dian-Lun Lin, Chun-Xun Lin, & Yibo Lin. (2021). Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System. IEEE Transactions on Parallel and Distributed Systems. 33(6). 1303–1320. 103 indexed citations
17.
Huang, Tsung‐Wei, Dian-Lun Lin, Yibo Lin, & Chun-Xun Lin. (2020). Cpp-Taskflow: A General-purpose Parallel and Heterogeneous Task Programming System at Scale. arXiv (Cornell University). 1 indexed citations
18.
Lin, Dian-Lun & Tsung‐Wei Huang. (2020). A Novel Inference Algorithm for Large Sparse Neural Network using Task Graph Parallelism. 1–7. 33 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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