Add Parabricks resource configuration guide for full-size genomes - #1775
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Adds practical guidance for configuring Parabricks GPU resources when running full-size genomes, based on testing with the test_full dataset (GRCh37, 8 samples) on AWS g5 instances. Covers GPU count, memory scaling, retry strategy, --low-memory flag, and GPU contention avoidance. Framed as tested examples rather than prescriptive values so users can adapt for their cloud provider and GPU type. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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The previous PARABRICKS_.* selector also matched PARABRICKS_STARGENOMEGENERATE (a CPU-only STAR_GENOMEGENERATE alias, process_high), applying GPU resources to the index build.
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Summary
Adds practical guidance for configuring Parabricks GPU resources when running full-size genomes, based on testing with the
test_fulldataset (GRCh37, 8 paired-end samples) on AWS g5 instances.What's documented
--low-memorySTAR flag and why it's needed for GPUs with 24GB VRAM--genomeincompatibility (references the fix in Fix iGenomes STAR version detection and index building logic #1756)Framed as tested examples rather than prescriptive values, so users can adapt for their cloud provider and GPU type.
Context
Discovered through extensive benchmarking runs on Seqera Platform. Key failure modes encountered and resolved:
stitchPiece_step0without--low-memoryon A10G GPUsTest plan
🤖 Generated with Claude Code