Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures

Executing irregular, data-intensive workloads on multithreaded architectures can result in performance losses and scalability problems. Codesigning algorithms and architectures can realize high performance on irregular applications. A codesign study reveals four key lessons learned from implementing...

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Veröffentlicht in:Computer (Long Beach, Calif.) Calif.), 2015-08, Vol.48 (8), p.46-55
Hauptverfasser: Halappanavar, Mahantesh, Pothen, Alex, Azad, Ariful, Manne, Fredrik, Langguth, Johannes, Khan, Arif
Format: Artikel
Sprache:eng
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Zusammenfassung:Executing irregular, data-intensive workloads on multithreaded architectures can result in performance losses and scalability problems. Codesigning algorithms and architectures can realize high performance on irregular applications. A codesign study reveals four key lessons learned from implementing matching algorithms on various platforms.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2015.215