Motivation
While executing SVConcordance, memory allocation issues have arisen specifically for chromosomes 9, 17, and X. Despite efforts to allocate more memory to the SV_concordance task, limitations from Google Cloud Platform (GCP) have capped the maximum allocatable memory to 300GB. This constraint has hindered the successful processing of these chromosomes.
Proposed Solution
The proposed solution involves modifying the Workflow Description Language (WDL) script to utilize N2 machine types. By specifying the cpuPlatform: "Intel Cascade Lake" within the runtime block of the WDL, it is possible to access larger machines, thereby facilitating greater memory allocation.
Implementation Details
The following changes will be made in the WDL script:
This modification will instruct the workflow to utilize N2 machine types that are capable of supporting larger memory requirements, essential for processing the specified chromosomes without encountering memory constraints.
Anticipated Outcome
The implementation of N2 machine types is expected to resolve the memory allocation issues, allowing SVConcordance to run efficiently for chromosomes 9, 17, X, and other chromosomes without hitting the memory cap imposed by GCP.
Motivation While executing SVConcordance, memory allocation issues have arisen specifically for chromosomes 9, 17, and X. Despite efforts to allocate more memory to the
SV_concordance
task, limitations from Google Cloud Platform (GCP) have capped the maximum allocatable memory to 300GB. This constraint has hindered the successful processing of these chromosomes.Proposed Solution The proposed solution involves modifying the Workflow Description Language (WDL) script to utilize N2 machine types. By specifying the cpuPlatform: "Intel Cascade Lake" within the runtime block of the WDL, it is possible to access larger machines, thereby facilitating greater memory allocation.
Implementation Details The following changes will be made in the WDL script:
This modification will instruct the workflow to utilize N2 machine types that are capable of supporting larger memory requirements, essential for processing the specified chromosomes without encountering memory constraints.
Anticipated Outcome The implementation of N2 machine types is expected to resolve the memory allocation issues, allowing SVConcordance to run efficiently for chromosomes 9, 17, X, and other chromosomes without hitting the memory cap imposed by GCP.