Tsung-Wei Huang

Assistant Professor

University of Utah

United States

Research Interests

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About

Tsung-Wei Huang is an Assistant Professor at the University of Utah, USA. His research areas include GPU-accelerated computing, heterogeneous parallelism, and timing analysis algorithms. Recent articles authored by Professor Huang focus on multilevel graph partitioning, path-based timing analysis, and energy efficiency in artificial intelligence applications.

Articles (11)

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2025

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

Year:

2021

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Tsung-Wei Huang

Research Interests

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About

Articles (11)

G-kway: Multilevel GPU-Accelerated k-way Graph Partitioner using Task Graph Parallelism

A GPU-accelerated Framework for Path-based Timing Analysis

Accelerating Static Timing Analysis using CPU-GPU Heterogeneous Parallelism

A Provably Good and Practically Efficient Algorithm for Common Path Pessimism Removal in Large Designs

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

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

Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study

Cpp-Taskflow: A General-Purpose Parallel Task Programming System at Scale

OpenTimer v2: A New Parallel Incremental Timing Analysis Engine

OpenTimer v2: A Parallel Incremental Timing Analysis Engine

Accelerating Large Sparse Neural Network Inference using GPU Task Graph Parallelism

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