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References | Taskflow QuickStart

<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8" /> <title>References | Taskflow QuickStart</title> <link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Source+Sans+Pro:400,400i,600,600i%7CSource+Code+Pro:400,400i,600" /> <link rel="stylesheet" href="m-dark+documentation.compiled.css" /> <link rel="icon" href="favicon.ico" type="image/vnd.microsoft.icon" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <meta name="theme-color" content="#22272e" /> </head> <body> <header><nav id="navigation"> <div class="m-container"> <div class="m-row"> <span id="m-navbar-brand" class="m-col-t-8 m-col-m-none m-left-m"> <a href="https://taskflow.github.io"><img src="taskflow_logo.png" alt="" />Taskflow</a> <span class="m-breadcrumb">|</span> <a href="index.html" class="m-thin">QuickStart</a> </span> <div class="m-col-t-4 m-hide-m m-text-right m-nopadr"> <a href="#search" class="m-doc-search-icon" title="Search" onclick="return showSearch()"><svg style="height: 0.9rem;" viewBox="0 0 16 16"> <path id="m-doc-search-icon-path" d="m6 0c-3.31 0-6 2.69-6 6 0 3.31 2.69 6 6 6 1.49 0 2.85-0.541 3.89-1.44-0.0164 0.338 0.147 0.759 0.5 1.15l3.22 3.79c0.552 0.614 1.45 0.665 2 0.115 0.55-0.55 0.499-1.45-0.115-2l-3.79-3.22c-0.392-0.353-0.812-0.515-1.15-0.5 0.895-1.05 1.44-2.41 1.44-3.89 0-3.31-2.69-6-6-6zm0 1.56a4.44 4.44 0 0 1 4.44 4.44 4.44 4.44 0 0 1-4.44 4.44 4.44 4.44 0 0 1-4.44-4.44 4.44 4.44 0 0 1 4.44-4.44z"/> </svg></a> <a id="m-navbar-show" href="#navigation" title="Show navigation"></a> <a id="m-navbar-hide" href="#" title="Hide navigation"></a> </div> <div id="m-navbar-collapse" class="m-col-t-12 m-show-m m-col-m-none m-right-m"> <div class="m-row"> <ol class="m-col-t-6 m-col-m-none"> <li><a href="pages.html">Handbook</a></li> <li><a href="namespaces.html">Namespaces</a></li> </ol> <ol class="m-col-t-6 m-col-m-none" start="3"> <li><a href="annotated.html">Classes</a></li> <li><a href="files.html">Files</a></li> <li class="m-show-m"><a href="#search" class="m-doc-search-icon" title="Search" onclick="return showSearch()"><svg style="height: 0.9rem;" viewBox="0 0 16 16"> <use href="#m-doc-search-icon-path" /> </svg></a></li> </ol> </div> </div> </div> </div> </nav></header> <main><article> <div class="m-container m-container-inflatable"> <div class="m-row"> <div class="m-col-l-10 m-push-l-1"> <h1> References </h1> <nav class="m-block m-default"> <h3>Contents</h3> <ul> <li><a href="#RefConference">Conference</a></li> <li><a href="#RefJournal">Journal</a></li> <li><a href="#RefRecognition">Recognition</a></li> </ul> </nav> <p>This page summarizes a list of publication related to Taskflow. If you are using Taskflow, please cite the following paper we published at 2022 IEEE TPDS:</p><ul><li>Tsung-Wei Huang, Dian-Lun Lin, Chun-Xun Lin, and Yibo Lin, &quot;<a href="https://tsung-wei-huang.github.io/papers/tpds21-taskflow.pdf">Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System</a>,&quot; <em>IEEE Transactions on Parallel and Distributed Systems (TPDS)</em>, vol. 33, no. 6, pp. 1303-1320, June 2022</li></ul><section id="RefConference"><h2><a href="#RefConference">Conference</a></h2><ol><li>Dian-Lun Lin, Yanqing Zhang, Haoxing Ren, Shih-Hsin Wang, Brucek Khailany and Tsung-Wei Huang, &quot;<a href="https://tsung-wei-huang.github.io/papers/2023-dac.pdf">GenFuzz: GPU-accelerated Hardware Fuzzing using Genetic Algorithm with Multiple Inputs</a>,&quot; <em>ACM/IEEE Design Automation Conference (DAC)</em>, San Francisco, CA, 2023</li><li>Tsung-Wei Huang, &quot;<a href="https://tsung-wei-huang.github.io/papers/ipdps23.pdf">qTask: Task-parallel Quantum Circuit Simulation with Incrementality</a>,&quot; <em>IEEE International Parallel and Distributed Processing Symposium (IPDPS)</em>, St. Petersburg, Florida, 2023</li><li>Elmir Dzaka, Dian-Lun Lin, and Tsung-Wei Huang, &quot;<a href="https://tsung-wei-huang.github.io/papers/pdco-23.pdf">Parallel And-Inverter Graph Simulation Using a Task-graph Computing System</a>,&quot; <em>IEEE International Parallel and Distributed Processing Symposium Workshop (IPDPSW)</em>, St. Petersburg, Florida, 2023</li><li>Tsung-Wei Huang and Leslie Hwang, &quot;<a href="https://tsung-wei-huang.github.io/papers/hpec22-semaphore.pdf">Task-Parallel Programming with Constrained Parallelism</a>,&quot; <em>IEEE High-Performance Extreme Computing Conference (HPEC)</em>, MA, 2022</li><li>Tsung-Wei Huang, &quot;<a href="https://tsung-wei-huang.github.io/papers/hpec22-ot.pdf">Enhancing the Performance Portability of Heterogeneous Circuit Analysis Programs</a>,&quot; <em>IEEE High-Performance Extreme Computing Conference (HPEC)</em>, MA, 2022</li><li>Dian-Lun Lin, Haoxing Ren, Yanqing Zhang, and Tsung-Wei Huang, &quot;<a href="https://tsung-wei-huang.github.io/papers/icpp22-rtlflow.pdf">From RTL to CUDA: A GPU Acceleration Flow for RTL Simulation with Batch Stimulus</a>,&quot; <em>ACM International Conference on Parallel Processing (ICPP)</em>, Bordeaux, France, 2022</li><li>Cheng-Hsiang Chiu and Tsung-Wei Huang, &quot;<a href="https://doi.org/10.1145/3502181.3533714">Composing Pipeline Parallelism using Control Taskflow Graph</a>,&quot; <em>ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC)</em>, Minneapolis, Minnesota, 2022</li><li>Cheng-Hsiang Chiu and Tsung-Wei Huang, &quot;<a href="https://tsung-wei-huang.github.io/papers/dac2022.pdf">Efficient Timing Propagation with Simultaneous Structural and Pipeline Parallelisms</a>,&quot; <em>ACM/IEEE Design Automation Conference (DAC)</em>, San Francisco, CA, 2022</li><li>Dian-Lun Lin and Tsung-Wei Huang, &quot;Efficient GPU Computation using Task Graph Parallelism,&quot; <em>European Conference on Parallel and Distributed Computing (EuroPar)</em>, 2021</li><li>Tsung-Wei Huang, &quot;<a href="iccad20.pdf">A General-purpose Parallel and Heterogeneous Task Programming System for VLSI CAD</a>,&quot; <em>IEEE/ACM International Conference on Computer-aided Design (ICCAD)</em>, CA, 2020</li><li>Chun-Xun Lin, Tsung-Wei Huang, and Martin Wong, &quot;<a href="icpads20.pdf">An Efficient Work-Stealing Scheduler for Task Dependency Graph</a>,&quot; <em>IEEE International Conference on Parallel and Distributed Systems (ICPADS)</em>, Hong Kong, 2020</li><li>Tsung-Wei Huang, Chun-Xun Lin, Guannan Guo, and Martin Wong, &quot;<a href="ipdps19.pdf">Cpp-Taskflow: Fast Task-based Parallel Programming using Modern C++</a>,&quot; <em>IEEE International Parallel and Distributed Processing Symposium (IPDPS)</em>, pp. 974-983, Rio de Janeiro, Brazil, 2019</li><li>Chun-Xun Lin, Tsung-Wei Huang, Guannan Guo, and Martin Wong, &quot;<a href="mm19.pdf">A Modern C++ Parallel Task Programming Library</a>,&quot; <em>ACM Multimedia Conference (MM)</em>, pp. 2284-2287, Nice, France, 2019</li><li>Chun-Xun Lin, Tsung-Wei Huang, Guannan Guo, and Martin Wong, &quot;<a href="hpec19.pdf">An Efficient and Composable Parallel Task Programming Library</a>,&quot; <em>IEEE High-performance and Extreme Computing Conference (HPEC)</em>, pp. 1-7, Waltham, MA, 2019</li></ol></section><section id="RefJournal"><h2><a href="#RefJournal">Journal</a></h2><ol><li>Dian-Lun Lin and Tsung-Wei Huang, &quot;<a href="https://tsung-wei-huang.github.io/papers/tpds22-snig.pdf">Accelerating Large Sparse Neural Network Inference using GPU Task Graph Parallelism</a>,&quot; <em>IEEE Transactions on Parallel and Distributed Systems (TPDS)</em>, vol. 33, no. 11, pp. 3041-3052, Nov 2022</li><li>Tsung-Wei Huang, Dian-Lun Lin, Chun-Xun Lin, and Yibo Lin, &quot;<a href="https://tsung-wei-huang.github.io/papers/tpds21-taskflow.pdf">Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System</a>,&quot; <em>IEEE Transactions on Parallel and Distributed Systems (TPDS)</em>, vol. 33, no. 6, pp. 1303-1320, June 2022</li><li>Tsung-Wei Huang, Dian-Lun Lin, Yibo Lin, and Chun-Xun Lin, &quot;<a href="tcad21-taskflow.pdf">Cpp-Taskflow: A General-purpose Parallel Task Programming System at Scale</a>,&quot; <em>IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems (TCAD)</em>, vol. 40, no.8, 2021</li></ol></section><section id="RefRecognition"><h2><a href="#RefRecognition">Recognition</a></h2><ol><li>Champion of Graph Challenge at the 2020 IEEE High-performance Extreme Computing Conference</li><li>Second Prize of Open-Source Software Competition at the 2019 ACM Multimedia Conference</li><li>ACM SIGDA Outstanding PhD Dissertation Award at the 2019 ACM/IEEE Design Automation Conference</li><li>Best Poster Award at the 2018 Official C++ Conference, voted by hundreds of C++ professionals</li></ol></section> </div> </div> </div> </article></main> <div class="m-doc-search" id="search"> <a href="#!" onclick="return hideSearch()"></a> <div class="m-container"> <div class="m-row"> <div class="m-col-m-8 m-push-m-2"> <div class="m-doc-search-header m-text m-small"> <div><span class="m-label m-default">Tab</span> / <span class="m-label m-default">T</span> to search, <span class="m-label m-default">Esc</span> to close</div> <div id="search-symbolcount">&hellip;</div> </div> <div class="m-doc-search-content"> <form> <input type="search" name="q" id="search-input" placeholder="Loading &hellip;" disabled="disabled" autofocus="autofocus" autocomplete="off" spellcheck="false" /> </form> <noscript class="m-text m-danger m-text-center">Unlike everything else in the docs, the search functionality <em>requires</em> JavaScript.</noscript> <div id="search-help" class="m-text m-dim m-text-center"> <p class="m-noindent">Search for symbols, directories, files, pages or modules. 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