A constructive heuristic for application mapping onto an express channel based Network-on-Chip

Author(s):  
Sandeep D'souza ◽  
J. Soumya ◽  
Santanu Chattopadhyay



2015 ◽  
Vol 24 (08) ◽  
pp. 1550126 ◽  
Author(s):  
Pradip Kumar Sahu ◽  
Kanchan Manna ◽  
Tapan Shah ◽  
Santanu Chattopadhyay

Mapping constitutes a very important step in network-on-chip (NoC)-based implementation of an application. An application is often represented in the form of an application core graph. The cores of the core graph communicate between themselves using the underlying network. This paper presents a constructive heuristic to statically map applications on two-dimensional mesh-connected NoC. The approach corresponds to a design time decision of attachment of cores to the routers. The mapping results, in terms of overall communication cost metric, have been compared with many well-known techniques reported in the literature and also with an exact method built around integer linear programming (ILP). A thorough complexity analysis of the algorithm has been performed. For smaller benchmarks, the results obtained are same as those for the ILP generated solutions. For benchmarks containing 64 and higher number of cores, the mapping solutions are better than the existing ones. Dynamic performances of the mapped solutions have been compared with respect to synthetically generated self-similar traffic. In many cases, our approach requires less latency and energy per packet than the existing methods while providing higher throughput.



2021 ◽  
Vol 116 ◽  
pp. 102026
Author(s):  
P. Veda Bhanu ◽  
Soumya J.


Integration ◽  
2021 ◽  
Author(s):  
Nizar Dahir ◽  
Ammar Karkar ◽  
Maurizio Palesi ◽  
Terrence Mak ◽  
Alex Yakovlev


2018 ◽  
pp. 119-154
Author(s):  
Santanu Kundu ◽  
Santanu Chattopadhyay




2014 ◽  
Vol 60 (7) ◽  
pp. 562-578 ◽  
Author(s):  
Pradip Kumar Sahu ◽  
Kanchan Manna ◽  
Nisarg Shah ◽  
Santanu Chattopadhyay


Author(s):  
Amin Rezaei ◽  
Masoud Daneshtalab ◽  
Danella Zhao ◽  
Farshad Safaei ◽  
Xiaohang Wang ◽  
...  


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