4.14. beast_gpu

Runs BEAST (v1) on a GPU instance. Use with care–this can be expensive if run incorrectly.

4.14.1. Inputs

4.14.1.1. Required inputs

beast_gpu.beast.beauti_xml
File — Default: None
???

4.14.1.2. Other inputs

Show/Hide

beast_gpu.beast.accelerator_count
Int? — Default: None
[GCP] The number of GPUs of the specified type to use.

beast_gpu.beast.accelerator_type
String? — Default: None
[GCP] The model of GPU to use. For availability and pricing on GCP, see https://cloud.google.com/compute/gpus-pricing#gpus

beast_gpu.beast.beagle_double_precision
Boolean — Default: true
If beagle_double_precision=true, use double-precision calculation (perhaps set to false to gain execution speed if MCMC chain convergence is possible using single-precision calculation).

beast_gpu.beast.beagle_order
String? — Default: None
The order of CPU(0) and GPU(1+) resources used to process partitioned data.

beast_gpu.beast.docker
String — Default: "quay.io/broadinstitute/beast-beagle-cuda:1.10.5pre"
???

beast_gpu.beast.gpu_count
Int? — Default: None
[Terra] The number of GPUs of the specified type to use.

beast_gpu.beast.gpu_type
String? — Default: None
[Terra] The model of GPU to use. For availability and pricing on GCP, see https://support.terra.bio/hc/en-us/articles/4403006001947-Getting-started-with-GPUs-in-a-Cloud-Environment

beast_gpu.beast.vm_size
String? — Default: None
???

4.14.2. Outputs

beast_gpu.beast_log
File
???

beast_gpu.beast_stdout
String
???

beast_gpu.ops
Array[File]
???

beast_gpu.rates
Array[File]
???

beast_gpu.root
Array[File]
???

beast_gpu.trees
Array[File]
???

---

Generated using WDL AID (1.0.0)