• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 102 matches

• 2024
• 
  Yunho Jang, Yeseul Kim, Jongsun Park:
  STT-MRAM-based Near-Memory Computing Architecture with Read Scheme and Dataflow Co-Design for High-Throughput and Energy-Efficiency. ISLPED 2024: 1-6
• 
  Ying Liu, Yufei Ma, Ninghui Shang, Tianhao Zhao, Peiyu Chen, Meng Wu, Jiayoon Ru, Tianyu Jia, Le Ye, Zhixuan Wang, Ru Huang:
  30.2 A 22nm 0.26nW/Synapse Spike-Driven Spiking Neural Network Processing Unit Using Time-Step-First Dataflow and Sparsity-Adaptive In-Memory Computing. ISSCC 2024: 484-486
• 2023
• 
  Diana Carrizales-Espinoza, Dante D. Sánchez-Gallegos, José Luis González Compeán, Jesús Carretero:
  FedFlow: a federated platform to build secure sharing and synchronization services for health dataflows. Computing 105(5): 1019-1037 (2023)
• 
  Haohao Wang, Mengmeng Sun, Lianming Zhang, Pingping Dong, Yehua Wei, Jing Mei:
  Scheduling optimization for upstream dataflows in edge computing. Digit. Commun. Networks 9(6): 1448-1457 (2023)
• 
  Philip Salzmann, Fabian Knorr, Peter Thoman, Philipp Gschwandtner, Biagio Cosenza, Thomas Fahringer:
  An Asynchronous Dataflow-Driven Execution Model For Distributed Accelerator Computing. CCGrid 2023: 82-93
• 2022
• 
  Kaining Zhou, Yangshuo He, Rui Xiao, Jiayi Liu, Kejie Huang:
  A Customized NoC Architecture to Enable Highly Localized Computing-on-the-Move DNN Dataflow. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1692-1696 (2022)
• 
  Zheng Du, Wenjie Zhao, Zhiwei Wen, Qiuming Luo:
  Accelerating the Task Activation and Data Communication for Dataflow Computing. ICPP Workshops 2022: 27:1-27:7
• 
  Fahim Chowdhury, Francesco Di Natale, Adam Moody, Kathryn M. Mohror, Weikuan Yu:
  DFMan: A Graph-based Optimization of Dataflow Scheduling on High-Performance Computing Systems. IPDPS 2022: 368-378
• 
  Seyon Sivarajah, Lukas Heidemann, Alan Lawrence, Ross Duncan:
  Tierkreis: A Dataflow Framework for Hybrid Quantum-Classical Computing. CoRR abs/2211.02350 (2022)
• 2021
• 
  Basilio B. Fraguela, Diego Andrade:
  A software cache autotuning strategy for dataflow computing with UPC++ DepSpawn. Comput. Math. Methods 3(6) (2021)
• 
  Yuepeng Li, Deze Zeng, Long Zheng:
  On communication efficient dataflow computing in software defined networking enabled cloud. Concurr. Comput. Pract. Exp. 33(7): 1 (2021)
• 
  Aurelien Bloch, Simone Casale-Brunet, Marco Mattavelli:
  Methodologies for Synthesizing and Analyzing Dynamic Dataflow Programs in Heterogeneous Systems for Edge Computing. IEEE Open J. Circuits Syst. 2: 769-781 (2021)
• 
  Basilio B. Fraguela, Diego Andrade:
  High-performance dataflow computing in hybrid memory systems with UPC++ DepSpawn. J. Supercomput. 77(7): 7676-7689 (2021)
• 
  David Hentrich, Erdal Oruklu, Jafar Saniie:
  Program diagramming and fundamental programming patterns for a polymorphic computing dataflow processor. J. Comput. Lang. 65: 101052 (2021)
• 
  Dirk Kutscher, Laura Al Wardani, T. M. Rayhan Gias:
  Vision: information-centric dataflow: re-imagining reactive distributed computing. ICN 2021: 52-58
• 
  Dmitry Zmejev, Nikolay Levchenko:
  Recovery of Parallel Dataflow Computing System From Faults and Failures. EWDTS 2021: 1-6
• 
  Lei Wang, Haiming Chen, Wei Qin:
  NBUFlow: A Dataflow Based Universal Task Orchestration and Offloading Platform for Low-Cost Development of IoT Systems with Cloud-Edge-Device Collaborative Computing. ICA3PP (2) 2021: 665-681
• 
  Di Wu, Joshua San Miguel:
  Special Session: When Dataflows Converge: Reconfigurable and Approximate Computing for Emerging Neural Networks. ICCD 2021: 9-12
• 
  Shogo Shimahara, Hiroaki Nishi:
  Dataflow Management Platform for Smart Communities using an Edge Computing Environment. IECON 2021: 1-6
• 
  Veljko M. Milutinovic, Erfan Sadeqi Azer, Kristy Yoshimoto, Gerhard Klimeck, Miljan Djordjevic, Milos Kotlar, Miroslav Bojovic, Bozidar Miladinovic, Nenad Korolija, Stevan Stankovic, Nenad Filipovic, Zoran Babovic, Miroslav Kosanic, Akira Tsuda, Mateo Valero, Massimo De Santo, Erich J. Neuhold, Jelena Skorucak, Laura Dipietro, Ivan Ratkovic:
  The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chip, for Scientific Computing, Geo Physics, Complex Mathematics, and Information Processing. MECO 2021: 1-6
• 
  Endri Bezati, Mahyar Emami, Jörn W. Janneck, James R. Larus:
  StreamBlocks: A compiler for heterogeneous dataflow computing (technical report). CoRR abs/2107.09333 (2021)
• 
  Kaining Zhou, Yangshuo He, Rui Xiao, Jiayi Liu, Kejie Huang:
  A Customized NoC Architecture to Enable Highly Localized Computing-On-the-Move DNN Dataflow. CoRR abs/2111.11744 (2021)
• 2020
• 
  Shiwei Liu, Haozhe Zhu, Chixiao Chen, Lihua Zhang, Chuanjin Richard Shi:
  XNORAM: An Efficient Computing-in-Memory Architecture for Binary Convolutional Neural Networks with Flexible Dataflow Mapping. AICAS 2020: 21-25
• 
  Rui Rodrigues de Mello Junior, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Gabriel Antoine Louis Paillard, Claudio Luis de Amorim, Felipe Maia Galvão França:
  Fluid computing: interest-based communication in dataflow/multiset rewriting computing. EATIS 2020: 21:1-21:8
• 2019
• 
  Jeronimo Costa Penha, Lucas B. da Silva, Jansen Silva, Kristtopher Coelho, Hector P. Baranda, José Augusto Miranda Nacif, Ricardo Ferreira:
  ADD: Accelerator Design and Deploy - A tool for FPGA high-performance dataflow computing. Concurr. Comput. Pract. Exp. 31(18) (2019)
• 
  Caio B. G. Carvalho, Victor da Cruz Ferreira, Felipe M. G. França, Cristiana B. Bentes, Gabriele Mencagli, Tiago A. O. Alves, Alexandre da Costa Sena, Leandro A. J. Marzulo:
  A dataflow runtime environment and static scheduler for edge, fog and in-situ computing. Int. J. Grid Util. Comput. 10(3): 235-247 (2019)
• 
  Nikolay Levchenko, Anatoly Okunev, Dmitry Zmejev:
  Simulation of Nodes and Blocks of Matching Processor of the Parallel Dataflow Computing System "Buran". EWDTS 2019: 1-5
• 
  Nikolay Levchenko, Anatoly Okunev, Dmitry Zmejev:
  Implementation Variants of the Global Distributed Associative Computing Environment for the Parallel Dataflow Computing System "Buran". EWDTS 2019: 1-4
• 
  Nikolay Levchenko, Anatoly Okunev, Dmitry Zmejev:
  Reliability Issues in the Parallel Dataflow Computing System. EWDTS 2019: 1-5
• 2018
• 
  Catalin Bogdan Ciobanu, Georgi Gaydadjiev, Christian Pilato, Donatella Sciuto:
  The Case for Polymorphic Registers in Dataflow Computing. Int. J. Parallel Program. 46(6): 1185-1219 (2018)

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