Networks of the Tilera Multicore Processor

2010 ◽  
pp. 237-261
Author(s):  
David Wentzlaff ◽  
Patrick Griffin ◽  
Henry Hoffman ◽  
Liewei Bao ◽  
Bruce Edwards ◽  
...  
Keyword(s):  
Multicore Processor

Efficient Face Detection on Epiphany Multicore Processor

2017 ◽  
Vol 1 (1) ◽  
pp. 113-127 ◽  
Author(s):  
A. A. Sukhinov ◽  
◽  
G. B. Ostrobrod ◽  
Keyword(s):  
Face Detection ◽  
Multicore Processor

scholarly journals A Partially Shared Thin Reconfigurable Array For Multicore Processor

2019 ◽  
Author(s):  
Francisco Carlos Junior ◽  
Ivan Silva ◽  
Ricardo Jacobi
Keyword(s):  
System Performance ◽  
Considerable Increase ◽  
Energy Savings ◽  
Reconfigurable Architecture ◽  
Reconfigurable Architectures ◽  
Multicore Processor ◽  
Reconfigurable Arrays ◽  
Reconfigurable Array ◽  
Multi Core Processor ◽  
The Way

Reconfigurable architectures have been widely used as single core processor accelerators. In the multi-core era, however, it is necessary to review the way that reconfigurable arrays are integrated into multi-core processor. Generally, a set of reconfigurable functional units are employed in a similar way as they are used in single core processors. Unfortunately, a considerable increase in the area ensues from this practice. Besides, in applications with unbalanced workload in their threads this approach can lead to a inefficient use of the reconfigurable architecture in cores with a low or even idle workload. To cope with this issue, this work proposes and evaluates a partially shared thin reconfigurable array, which allows to share reconfigurable resources among the processor's cores. Sharing is performed dynamically by the configuration scheduler hardware. The results shows that the sharing mechanism provided 76% of energy savings, improving the performance 41% in average when compared with a version without the proposed reconfigurable array. A comparison with a version of the reconfigurable array without the sharing mechanism was performed and shows that the sharing mechanism improved up to 11.16% in the system performance.

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