Get High Performance Computing: First HPCLATAM - CLCAR Latin PDF
By Gonzalo Hernandez, Carlos Jaime Barrios Hernandez, Gilberto Díaz, Carlos García Garino, Sergio Nesmachnow, Tomas Pérez-Acle, Mario Storti, Mariano Vázquez
This e-book constitutes the refereed court cases of the 1st HPCLATAM - CLCAR Joint Latin American excessive functionality Computing convention, CARLA 2014, held in Valparaiso, Chile, in October 2014. The 17 revised complete papers and the single paper awarded have been rigorously reviewed and chosen from forty two submissions. The papers are equipped in topical sections on grid and cloud computing; HPC architectures and instruments; parallel programming; clinical computing.
Read or Download High Performance Computing: First HPCLATAM - CLCAR Latin American Joint Conference, CARLA 2014, Valparaiso, Chile, October 20-22, 2014. Proceedings PDF
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Extra info for High Performance Computing: First HPCLATAM - CLCAR Latin American Joint Conference, CARLA 2014, Valparaiso, Chile, October 20-22, 2014. Proceedings
Checkpointing would also permit a more extensive use of spot instances without compromising the workﬂow makespan. A second aspect to investigate in the future is a method for determining the proper value of the spotsRatio parameter considering the characteristics of the application and the quality of the available bid price prediction method. Finally it is interesting to study the repercussion of data transfer times and cost during the autoscaling process. These features are crucial for studying new autoscaling techniques designed for big data applications like, for example, MapReduce workﬂows.
Although, the bid price prediction method (used during the scaling phase) aims to reduce the number of task failures, out-of-bid errors are likely to occur. A. Monge and C. Garc´ıa Garino Algorithm 2. pop() ETC on-demand instance 6: instance ← fastest(task, instancesod ) 7: if instance == null then: no on-demand instances available ETC spot instance 8: instance ← fastest(task, instancess ) 9: schedule(task, instance) submit for execution For such reason, the algorithm addresses the minimization of the negative eﬀects of such failures on the workﬂow makespan.
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High Performance Computing: First HPCLATAM - CLCAR Latin American Joint Conference, CARLA 2014, Valparaiso, Chile, October 20-22, 2014. Proceedings by Gonzalo Hernandez, Carlos Jaime Barrios Hernandez, Gilberto Díaz, Carlos García Garino, Sergio Nesmachnow, Tomas Pérez-Acle, Mario Storti, Mariano Vázquez