scholarly journals A Heterogeneous Multicore System on Chip for Energy Efficient Brain Inspired Computing

2018 ◽  
Vol 65 (8) ◽  
pp. 1094-1098 ◽  
Author(s):  
Antonio Pullini ◽  
Francesco Conti ◽  
Davide Rossi ◽  
Igor Loi ◽  
Michael Gautschi ◽  
...  
2018 ◽  
pp. 135-143
Author(s):  
Eysymont Alexey L. ◽  
Chernikov Anton V. ◽  
Kosorukov Dmitry E. ◽  
Nasonov Ilya I. ◽  
Komlev Arseny A.

2019 ◽  
Vol 8 (3) ◽  
pp. 8449-8452

In any heterogeneous multicore system, there are numerous amount of processors with different platform and all the processing units are fabricated on a common single unit preferably on a System on Chip. As there is a tremendous amount of parallelism encompassed in a multicore system, proper utilization of the cores is a big challenge in the current era. Hence a more automated software approach is required like an agent based graph coloring algorithm to find the free processor and schedule the tasks on the respective cores. Predominantly the entire process of scheduling the tasks on multicore system is based on arrival time of process. This paper incorporates the scheduling on the linux 2.6.11 kernel and GEMS simulator for multicore implementation. The core utilization in this type of agent scheduling is 50% more than the existing scheduling mechanism


Author(s):  
Antonio Pullini ◽  
Francesco Conti ◽  
Davide Rossi ◽  
Igor Loi ◽  
Michael Gautschi ◽  
...  

Author(s):  
Andrea Cazzaniga ◽  
Gianluca Durelli ◽  
Christian Pilato ◽  
Donatella Sciuto ◽  
Marco D. Santambrogio

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