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### Run Information
Name | Value
-- | --
Architecture | arm64
OS | ubuntu 20.04
Queue | AmpereUbuntu
Baseline | [0b081118dedcbc01d445f3f56222fde9d86f3f44](https://github.com/dotnet/runtime…
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### Run Information
Name | Value
-- | --
Architecture | x64
OS | Windows 10.0.19042
Queue | OwlWindows
Baseline | [2d062c00e367024040991ed1f45c36868357f463](https://github.com/dotnet/runti…
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### Run Information
Architecture | arm64
-- | --
OS | ubuntu 18.04
Baseline | [64807b3ccdc22da1175aa1bc1777d3abb1d9306f](https://github.com/dotnet/runtime/commit/64807b3ccdc22da1175aa1bc1777d3ab…
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### Run Information
Name | Value
-- | --
Architecture | arm64
OS | Windows 10.0.19041
Queue | SurfaceWindows
Baseline | [2f49fcff6df15a200ef01eea16b3ce7930f75c5c](https://github.com/dotnet/runtime…
-
### Run Information
Architecture | x64
-- | --
OS | ubuntu 18.04
Baseline | [6a218ab799e56d4ebaffda550de06a9a73a88b14](https://github.com/dotnet/runtime/commit/6a218ab799e56d4ebaffda550de06a9a…
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### Run Information
Name | Value
-- | --
Architecture | x64
OS | alpine 3.15
Queue | TigerAlpine
Baseline | [79effd2c09a7a3049d0b29c998e444ba51864131](https://github.com/dotnet/runtime/commit/79ef…
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I've been running a large number of ~ 30X human CRAMs (aligned to GRCh38DH) through Manta for germline SV detection. I've typically been providing 16GB of RAM and 8 cores. For the majority of samples,…
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### Run Information
Architecture | x86
-- | --
OS | Windows 10.0.18362
Baseline | [765e3dbb2d3aa2b114d8c07e44ae2ca926df16b4](https://github.com/dotnet/runtime/commit/765e3dbb2d3aa2b114d8c07e44…
-
### Run Information
Name | Value
-- | --
Architecture | arm64
OS | ubuntu 20.04
Queue | AmpereUbuntu
Baseline | [1ffe321285f2f16ea2eff5f623ef14a0b1b48249](https://github.com/dotnet/runtime/commit/…
-
### Run Information
Architecture | x64
-- | --
OS | ubuntu 18.04
Baseline | [2eca2d319bf8d1247edf38facfdd501e0e2f0030](https://github.com/dotnet/runtime/commit/2eca2d319bf8d1247edf38facfdd501e0e…