WT_DMDA new scheduling strategy for conjugate gradient solver on heterogeneous architecture

2018 ◽  
Vol 3 (1) ◽  
pp. 52
Author(s):  
Pierre Manneback ◽  
Sidi Ahmed Mahmoudi ◽  
Najlae Kasmi ◽  
Mostapha Zbakh
2011 ◽  
Author(s):  
Yao-Yuan Mao ◽  
Ting-Wai Chiu ◽  
Tung-Han Hsieh ◽  
Kenji Ogawa

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Zhonghua Jiang ◽  
Ning Xu

We proposed to use the conjugate gradient method to effectively solve the thermal resistance model in HotSpot thermal floorplan tool. The iterative conjugate gradient solver is suitable for traditional sparse matrix linear systems. We also defined the relative sparse matrix in the iterative thermal floorplan of Simulated Annealing framework algorithm, and the iterative method of relative sparse matrix could be applied to other iterative framework algorithms. The experimental results show that the running time of our incremental iterative conjugate gradient solver is speeded up approximately 11x compared with the LU decomposition method for case ami49, and the experiment ratio curve shows that our iterative conjugate gradient solver accelerated more with increasing number of modules.


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