Dedicated and General-Purpose Systems for Parallel Application Development

Author(s):  
Antonino Mazzeo
2020 ◽  
Vol 2 (3) ◽  
pp. 164-177
Author(s):  
Mahmoud S. Fayed ◽  
Muhammad Al-Qurishi ◽  
Atif Alamri ◽  
M. Anwar Hossain ◽  
Ahmad A. Al-Daraiseh

2020 ◽  
Author(s):  
Lucas Leandro Nesi ◽  
Lucas Schnorr

The complexity of high performance computing (HPC) platforms The Task-Based presents challenges in parallel application development. paradigm is a candidate to reduce some of the programmer's burden. However, because of the platforms' complexity, resource affinity and communication contention might cause performance problems. This work presents a case study of these problems employing the Chameleon dense algebra linear solver LU factorization using the Task-Based runtime StarPU over 21 heterogeneous nodes. We present possible configurations to mitigate performance degradation and conduct an extensive analysis of their interaction. The results show a performance improvement of 16% without changing the application source code.


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