Cheng-Hsiang Chiu

Orcid: 0000-0002-0406-885X

According to our database1, Cheng-Hsiang Chiu authored at least 11 papers between 2021 and 2024.

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

Timeline

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Links

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Bibliography

2024
An Experimental Study of Dynamic Task Graph Parallelism for Large-Scale Circuit Analysis Workloads.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Incremental Critical Path Generation for Dynamic Graphs.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Parallel and Heterogeneous Timing Analysis: Partition, Algorithm, and System.
Proceedings of the 2024 International Symposium on Physical Design, 2024

An Efficient Task-Parallel Pipeline Programming Framework.
Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2024

G-PASTA: GPU-Accelerated Partitioning Algorithm for Static Timing Analysis.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

A Resource-efficient Task Scheduling System using Reinforcement Learning : Invited Paper.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023
Invited Paper: Programming Dynamic Task Parallelism for Heterogeneous EDA Algorithms.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
Pipeflow: An Efficient Task-Parallel Pipeline Programming Framework using Modern C++.
CoRR, 2022

Composing Pipeline Parallelism using Control Taskflow Graph.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Efficient timing propagation with simultaneous structural and pipeline parallelisms: late breaking results.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
An Experimental Study of SYCL Task Graph Parallelism for Large-Scale Machine Learning Workloads.
Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021


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