Name
Title | ||
|---|---|---|
Task-Resource Co-Allocation for Hotspot Minimization in Heterogeneous Many-Core NoCs. |
Abstract | ||
|---|---|---|
To fully exploit the massive parallelism of many cores, this work tackles the problem of mapping large-scale applications onto heterogeneous on-chip networks (NoCs) to minimize the peak workload for energy hotspot avoidance. A task-resource co-optimization framework is proposed which configures the on-chip communication infrastructure and maps the applications simultaneously and coherently, aiming to minimize the peak load under the constraints of computation power and communication capacity and a total cost budget of on-chip resources. The problem is first formulated into a linear programming model to search for optimal solution. A heuristic algorithm is further developed for fast design space exploration in extremely large-scale many-core NoCs. Extensive simulations are carried out under real-world benchmarks and randomly generated task graphs to demonstrate the effectiveness and efficiency of the proposed schemes. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2902961.2903003 | ACM Great Lakes Symposium on VLSI |
Keywords | Field | DocType |
task-resource coallocation,hotspot minimization,heterogeneous many core NoC,heterogeneous on-chip networks,energy hotspot avoidance,task-resource cooptimization framework,linear programming model,heuristic algorithm,design space exploration,task graphs | Computer science,Heuristic (computer science),Massively parallel,Real-time computing,Exploit,Resource allocation,Minification,Linear programming,Hotspot (Wi-Fi),Design space exploration,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5090-2979-2 | 4 | 0.44 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Md Farhadur Reza | 1 | 8 | 1.89 |
| Dan Zhao | 2 | 188 | 15.29 |
| Hongyi Wu | 3 | 848 | 76.90 |