On testing for catastrophic faults in reconfigurable arrays with arbitrary link redundancy

Integration ◽  
1996 ◽  
Vol 20 (3) ◽  
pp. 327-342 ◽  
Author(s):  
Amiya Nayak ◽  
Linda Pagli ◽  
Nicola Santoro
Author(s):  
Dennis Wolf ◽  
Andreas Engel ◽  
Tajas Ruschke ◽  
Andreas Koch ◽  
Christian Hochberger

AbstractCoarse Grained Reconfigurable Arrays (CGRAs) or Architectures are a concept for hardware accelerators based on the idea of distributing workload over Processing Elements. These processors exploit instruction level parallelism, while being energy efficient due to their simplistic internal structure. However, the incorporation into a complete computing system raises severe challenges at the hardware and software level. This article evaluates a CGRA integrated into a control engineering environment targeting a Xilinx Zynq System on Chip (SoC) in detail. Besides the actual application execution performance, the practicability of the configuration toolchain is validated. Challenges of the real-world integration are discussed and practical insights are highlighted.


1991 ◽  
Vol 39 (7) ◽  
pp. 919-925 ◽  
Author(s):  
O.M. Bucci ◽  
G. Mazzarella ◽  
G. Panariello

2008 ◽  
Vol 43 (7) ◽  
pp. 151-160 ◽  
Author(s):  
Bjorn De Sutter ◽  
Paul Coene ◽  
Tom Vander Aa ◽  
Bingfeng Mei

Author(s):  
Francisco Carlos Junior ◽  
Ivan Silva ◽  
Ricardo Jacobi

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.


Author(s):  
M. Stojilovic ◽  
D. Novo ◽  
L. Saranovac ◽  
P. Brisk ◽  
P. Ienne

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