Paper Info
Title
A case for chip multiprocessors based on the data-driven multithreading model
Abstract
Current high-end microprocessors achieve high performance as a result of adding more features and therefore increasing complexity. This paper makes the case for a Chip-Multiprocessor based on the Data-Driven Multithreading (DDM-CMP) execution model in order to overcome the limitations of current design trends. Data-Driven Multithreading (DDM) is a multithreading model that effectively hides the communication delay and synchronization overheads. DDM-CMP avoids the complexity of other designs by combining simple commodity microprocessors with a small hardware overhead for thread scheduling and an interconnection network. Preliminary experimental results show that a DDM-CMP chip of the same hardware budget as a high-end commercial microprocessor, clocked at the same frequency, achieves a speedup of up to 18.5 with a 78-81% power consumption of the commercial chip. Overall, the estimated results for the proposed DDM-CMP architecture show a significant benefit in terms of both speedup and power consumption making it an attractive architecture for future processors.
Year
DOI
Venue
2006
10.1007/s10766-006-0016-z
International Journal of Parallel Programming
Keywords
Field
DocType
current design trend,hardware budget,execution model,commercial chip,multithreading,attractive architecture,data-driven multithreading model,parallel processing,proposed ddm-cmp architecture,chip multiprocessor,current high-end microprocessors,power consumption,data- driven execution.,ddm-cmp chip,data-driven multithreading,chip
Multithreading,Computer science,Microprocessor,Parallel computing,Speculative multithreading,Chip,Simultaneous multithreading,Execution model,Temporal multithreading,Speedup
Journal
Volume
Issue
ISSN
34
3
1573-7640
Citations 
PageRank 
References 
6
0.65
22
Authors
4
Name
Order
Citations
PageRank
Pedro Trancoso137743.79
Paraskevas Evripidou231334.69
Kyriakos Stavrou31038.61
Costas Kyriacou4656.57