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The International Journal of Parallel Programming journal gratefully acknowledges the editorial work of the following scholars on this special section dedicated to Data-Flow for Multicore:
Costas N Kyriacou, Frederick University, Cyprus
Paraskevas Evripidou, University of Cyprus, Cyprus
Samer Arandi, An-Najah National University, Palestine
The 4 papers in this section include:
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Architectural Support for Fault Tolerance in a Teradevice Dataflow System by Sebastian Weis, Arne Garbade, Bernhard Fechner, Avi Mendelson, Roberto Giorgi, Theo Ungerer
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SCnC: Efficient Unification of Streaming with Dynamic Task Parallelism by Dragoş Sbîrlea, Jun Shirako, Ryan Newton, Vivek Sarkar
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Integrating Transactions into the Data-Driven Multi-threading Model Using the TFlux Platform by Andreas Diavastos, Pedro Trancoso, Mikel Luján, Ian Watson
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The Design and Implementation of TIDeFlow: A Dataflow-Inspired Execution Model for Parallel Loops and Task Pipelining by Daniel Orozco, Elkin Garcia, Robert Pavel, Jaime Arteaga, Guang Gao
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Editor’s Note: Special Section on Data-Flow for Multicore. Int J Parallel Prog 44, 207 (2016). https://doi.org/10.1007/s10766-016-0404-y
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DOI: https://doi.org/10.1007/s10766-016-0404-y