Launching and working genomics workflows can take hours and entails giant swimming pools of compute cases that course of knowledge at a petabyte scale. Benchmarking helps you consider workflow efficiency and uncover sooner and cheaper methods of working them.
In observe, efficiency evaluations occur irregularly due to the related heavy lifting. On this weblog publish, we focus on how life-science analysis groups can automate evaluations.
Enterprise advantages
An automatic benchmarking answer offers:
- extra correct enterprise useful resource planning by performing historic analytics,
- decrease value to the enterprise by evaluating efficiency on totally different useful resource varieties, and
- value transparency to the enterprise by quantifying periodical chargeback.
We’ve used automated benchmarking to check processing instances on totally different companies corresponding to Amazon Elastic Compute Cloud (Amazon EC2), AWS Batch, AWS ParallelCluster, Amazon Elastic Kubernetes Service (Amazon EKS), and on-premises HPC clusters. Scientists, financiers, technical leaders, and different stakeholders can construct stories and dashboards to check consumption knowledge by shopper, workflow sort, and time interval.
Design sample
Our automated benchmarking answer measures efficiency on two dimensions:
- Timing: measures the length of a workflow launch on a selected dataset
- Pricing: measures the related value
This answer might be prolonged to different efficiency metrics corresponding to iterations per second or…