Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33105
Title: SWITCHES: A lightweight runtime for dataflow execution of tasks on many-cores
Authors: Diavastos, Andreas 
Trancoso, Pedro 
Major Field of Science: Engineering and Technology
Field Category: Computer and Information Sciences
Issue Date: 6-Sep-2017
Source: ACM Transactions on Architecture and Code Optimization (TACO), 2017, vol. 14, iss. 3, article no. 31, pp. 1-23
Volume: 14
Issue: 3
Start page: 1
End page: 23
Journal: ACM Transactions on Architecture and Code Optimization 
Abstract: SWITCHES is a task-based dataflow runtime that implements a lightweight distributed triggering system for runtime dependence resolution and uses static scheduling and compile-Time assignment policies to reduce runtime overheads. Unlike other systems, the granularity of loop-Tasks can be increased to favor data-locality, even when having dependences across different loops. SWITCHES introduces explicit task resource allocation mechanisms for efficient allocation of resources and adopts the latest OpenMP Application Programming Interface (API), as to maintain high levels of programming productivity. It provides a source-To-source tool that automatically produces thread-based code. Performance on an Intel Xeon-Phi shows good scalability and surpasses OpenMP by an average of 32%.
URI: https://hdl.handle.net/20.500.14279/33105
ISSN: 15443566
DOI: 10.1145/3127068
Type: Conference Papers
Affiliation : University of Cyprus 
Chalmers University of Technology 
Publication Type: Peer Reviewed
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