scholarly journals Generic Design Space Exploration for Reconfigurable Architectures

Author(s):  
L. Bossuet ◽  
G. Gogniat ◽  
J.-L. Philippe
2018 ◽  
Vol 27 (09) ◽  
pp. 1850145 ◽  
Author(s):  
Arsalan Shahid ◽  
Muhammad Yasir Qadri ◽  
Martin Fleury ◽  
Hira Waris ◽  
Ayaz Ahmad ◽  
...  

This paper concerns the design space exploration (DSE) of Reconfigurable Multi- Processor System-on- Chip (MPSoC) architectures. Reconfiguration allows users to allocate optimum system resources for a specific application in such a way to improve the energy and throughput balance. To achieve the best balance between power consumption and throughput performance for a particular application domain, typical design space parameters for a multi-processor architecture comprise the cache size, the number of processor cores and the operating frequency. The exploration of the design space has always been an offline technique, consuming a large amount of time. Hence, the exploration has been unsuitable for reconfigurable architectures, which require an early runtime decision. This paper presents Approximate Computing DSE (AC-DSE), an online technique for the DSE of MPSoCs by means of approximate computing. In AC-DSE, design space solutions are first obtained from a set of optimization algorithms, which in turn are used to train a neural network (NN). From then on, the NN can be used to rapidly return its own solutions in the form of design space parameters for a desired energy and throughput performance, without any further training.


2013 ◽  
Vol 59 (8) ◽  
pp. 571-581 ◽  
Author(s):  
François Duhem ◽  
Fabrice Muller ◽  
Willy Aubry ◽  
Bertrand Le Gal ◽  
Daniel Négru ◽  
...  

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