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Hummingbird: Efficient Performance Prediction for Executing Genomic Applications in the Cloud
2021
Bioinformatics
Motivation A major drawback of executing genomic applications on cloud computing facilities is the lack of tools to predict which instance type is the most appropriate, often resulting in an over- or under- matching of resources. Determining the right configuration before actually running the applications will save money and time. Here, we introduce Hummingbird, a tool for predicting performance of computing instances with varying memory and CPU on multiple cloud platforms. Results Our
doi:10.1093/bioinformatics/btab161
pmid:33693476
fatcat:sgcbhc3ofjdjtklkbcuqpa7t6e