Task accelerators in a HealthOmics workflow definition

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In the workflow definition, you can optionally specify the GPU accelerator-spec for a task. HealthOmics supports the following acclerator-spec values, along with the supported instance types:

Accelerator spec	Healthomics instance types
nvidia-tesla-t4	G4
nvidia-tesla-t4-a10g	G4 and G5
nvidia-tesla-a10g	G5
nvidia-l4-a10g	G5 and G6
nvidia-l4	G6
nvidia-l40s	G6e

If you specify an accelerator type that supports multiple instance types, HealthOmics selects the instance type based on available capacity. If both instance types are available, HealthOmics gives preference to the lower cost instance.

For details about the instance types, see Accelerated-computing instances.

In the following example, the workflow definition specifies nvidia-l4 as the accelarator:

WDL

task my_task {
 runtime {
    ...
    acceleratorCount: 1
    acceleratorType: "nvidia-l4"
 }
 ...
}          

NextFlow

process my_task {
 ...
 accelerator 1, type: "nvidia-l4"
 ...
}          

CWL

cwlVersion: v1.2
class: CommandLineTool
requirements:
  ...
  cwltool:CUDARequirement:
      cudaDeviceCountMin: 1
      cudaComputeCapability: "nvidia-l4"
      cudaVersionMin: "1.0"