Migration of Tools and Methodologies for Performance Prediction and Efficient HPC on Cloud Environments: Results and Conclusion

Provided by: Journal of Computer Science and Technology (JCS&T)
Topic: Cloud
Format: PDF
Progress in the parallel programming field has allowed scientific applications to be developed with more complexity and accuracy. However, such precision requires greater computational power in order to be executed. However, updating the local systems could be considered an expensive decision. For this reason, cloud computing is emerging as a commercial infrastructure that allows the user to eliminate maintaining the computing hardware. For this reason, cloud is promising to be a computing alternative to clusters, grids and supercomputing for executing these applications.

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