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 Engin Kayraklioglu

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Bibliometrics: publication history
Average citations per article1.00
Citation Count3
Publication count3
Publication years2014-2016
Available for download1
Average downloads per article185.00
Downloads (cumulative)185
Downloads (12 Months)57
Downloads (6 Weeks)2
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1 published by ACM
June 2016 ACM Transactions on Architecture and Code Optimization (TACO): Volume 13 Issue 2, June 2016
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 2,   Downloads (12 Months): 57,   Downloads (Overall): 185

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Parallel computers are becoming deeply hierarchical. Locality-aware programming models allow programmers to control locality at one level through establishing affinity between data and executing activities. This, however, does not enable locality exploitation at other levels. Therefore, we must conceive an efficient abstraction of hierarchical locality and develop techniques to exploit ...
Keywords: PGAS, hierarchical locality exploitation, PHLAME, PHAST, productivity

2
September 2015 PGAS '15: Proceedings of the 2015 9th International Conference on Partitioned Global Address Space Programming Models
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Parallel computers are becoming deeply hierarchical. Locality aware programming models allow programmers to control locality at one level through establishing affinity between data and executing activities. This, however, does not enable locality exploitation at other levels. Therefore, we must conceive an efficient abstraction of hierarchical locality and develop techniques to ...
Keywords: Hierarchical Locality, PGAS, Locality-aware, PHLAME, PHAST

3
August 2014 HPCC '14: Proceedings of the 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

We are proposing a novel framework that ameliorates locality-aware parallel programming models, by defining hierarchical data locality model extension. We also propose a hierarchical thread partitioning algorithm. This algorithm synthesizes hierarchical thread placement layouts that targets minimizing the program's overall communication costs. We demonstrated the effectiveness of our approach using ...
Keywords: Data locality, Many-cores, Hierarchical thread clustering



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