Highly Integrated Environment for Parallel Application Development Using QosCosGrid Middleware

Author(s):  
Bartosz Bosak ◽  
Jan Konczak ◽  
Krzysztof Kurowski ◽  
Mariusz Mamoński ◽  
Tomasz Piontek
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.


2014 ◽  
Vol 602-605 ◽  
pp. 3787-3790
Author(s):  
Song Chi

The parallel application program development technology and process is analyzed based on the MATLAB parallel and distributed computing toolbox. Hereby, the comparison of the serial computing and the parallel computing is done by computer simulations, and the parallel computing program design and develop method is proposed. The simulations results show that, the parallel computing technology has many advantages in the calculation of high intensive and it is convenience of the parallel application development using MATLAB.


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