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  Evripidou, Paraskevas Add to Alert Profile  
 
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  1 - 5 of 6 reviews    
  Data-driven concurrency for high performance computing
Matheou G., Evripidou P. ACM Transactions on Architecture and Code Optimization 14(4): 1-26, 2017.  Type: Article, Reviews: (2 of 2)

While in procedural parallel programming with multithreading lemmas, the synchronization of the sequences of parallel execution of tasks is important to quick job execution, the data-driven method draws a new pattern. By passing synchr...
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Oct 8 2018  
   Data-driven concurrency for high performance computing
Matheou G., Evripidou P. ACM Transactions on Architecture and Code Optimization 14(4): 1-26, 2017.  Type: Article, Reviews: (1 of 2)

Fine-grained dataflow computing creates circumstances that technologies, particularly hardware technologies, have difficulty handling. However, techniques like coarsening computational grain and substituting software for hardware, as d...
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Aug 30 2018  
  Architectural support for data-driven execution
Matheou G., Evripidou P. ACM Transactions on Architecture and Code Optimization 11(4): 1-25, 2015.  Type: Article

Although various approaches for data-driven execution exist, the authors focus on data-driven multithreading (DDM), following up on their previous work in that area. This interesting paper deals with the low-level details of building a...
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Apr 22 2015  
  Metacomputing with mobile agents
Evripidou P., Samaras G. International Journal of Parallel Programming 34(5): 429-458, 2006.  Type: Article

Pervasive computing poses a dilemma: ever-increasing amounts of data must be generated and integrated increasingly quickly, but the work must be performed by smaller computers dispersed over greater computational distances. Parallel co...
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Oct 16 2007  
  A case for chip multiprocessors based on the data-driven multithreading model
Trancoso P., Evripidou P., Stavrou K., Kyriacou C. International Journal of Parallel Programming 34(3): 213-235, 2006.  Type: Article

In this paper, an implementation of data-driven multithreading is proposed and evaluated. The authors investigate the speedup and power savings of a chip multiprocessor customized to include a data-driven scheduler component....
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Dec 13 2006  

 
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