rewirebio.iobenchmarks
Configuration

Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs (Marangoni et al. 2026)

GeNePi PB_germ module: Parabricks germline pipeline v4.3.0 (alignment to GRCh38, duplicate marking, BQSR, HaplotypeCaller)

1 evaluation · 5 results

Overview

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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

1 evaluation · 5 results. Different protocols are not a single leaderboard.

Protocol: Germline FASTQ-to-VCF runtime by read depth, Parabricks v4.3.0 on V100 and A100 GPUs versus the CPU GATK equivalent (Marangoni et al. 2026 Table S1) · Dataset: Human WGS paired-end data at 30x, 40x, 50x, 60x and 100x average depth (Marangoni et al. 2026 Table S1)

Sorted by Runtime (Germline FASTQ to VCF; human WGS at 100x average depth) (lower is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configurationRuntime (Germline FASTQ to VCF; human WGS at 100x average depth)Runtime (Germline FASTQ to VCF; human WGS at 30x average depth)Runtime (Germline FASTQ to VCF; human WGS at 40x average depth)Runtime (Germline FASTQ to VCF; human WGS at 50x average depth)Runtime (Germline FASTQ to VCF; human WGS at 60x average depth)
Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs (Marangoni et al. 2026)Evaluation6h 30m1h 36m2h 06m2h 24m3h 42m
All 5 result rows with coverage, uncertainty and sources
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Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs (Marangoni et al. 2026)Protocol: Germline FASTQ-to-VCF runtime by read depth, Parabricks v4.3.0 on V100 and A100 GPUs versus the CPU GATK equivalent (Marangoni et al. 2026 Table S1)
Dataset: Human WGS paired-end data at 30x, 40x, 50x, 60x and 100x average depth (Marangoni et al. 2026 Table S1)
6h 30m Runtime (Germline FASTQ to VCF; human WGS at 100x average depth)
minute · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs, runtime by depth (Marangoni et al. 2026)

model-execution-20261011-protocol-marangoni2026-germline-runtime-by-depth

Aggregation: Not reported

GeNePi: a graphics processing unit enhanced next-generation bioinformatics pipeline for whole-genome sequencing analysis; GeNePi: Supplementary Information · Supplementary Table S1 (page 7), row 'Avg. Reads Depth' 100x, column 'GPU-2xV100'
Configuration: Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs (Marangoni et al. 2026)Protocol: Germline FASTQ-to-VCF runtime by read depth, Parabricks v4.3.0 on V100 and A100 GPUs versus the CPU GATK equivalent (Marangoni et al. 2026 Table S1)
Dataset: Human WGS paired-end data at 30x, 40x, 50x, 60x and 100x average depth (Marangoni et al. 2026 Table S1)
1h 36m Runtime (Germline FASTQ to VCF; human WGS at 30x average depth)
minute · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs, runtime by depth (Marangoni et al. 2026)

model-execution-20261011-protocol-marangoni2026-germline-runtime-by-depth

Aggregation: Not reported

GeNePi: a graphics processing unit enhanced next-generation bioinformatics pipeline for whole-genome sequencing analysis; GeNePi: Supplementary Information · Supplementary Table S1 (page 7), row 'Avg. Reads Depth' 30x, column 'GPU-2xV100'
Configuration: Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs (Marangoni et al. 2026)Protocol: Germline FASTQ-to-VCF runtime by read depth, Parabricks v4.3.0 on V100 and A100 GPUs versus the CPU GATK equivalent (Marangoni et al. 2026 Table S1)
Dataset: Human WGS paired-end data at 30x, 40x, 50x, 60x and 100x average depth (Marangoni et al. 2026 Table S1)
2h 06m Runtime (Germline FASTQ to VCF; human WGS at 40x average depth)
minute · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs, runtime by depth (Marangoni et al. 2026)

model-execution-20261011-protocol-marangoni2026-germline-runtime-by-depth

Aggregation: Not reported

GeNePi: a graphics processing unit enhanced next-generation bioinformatics pipeline for whole-genome sequencing analysis; GeNePi: Supplementary Information · Supplementary Table S1 (page 7), row 'Avg. Reads Depth' 40x, column 'GPU-2xV100'
Configuration: Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs (Marangoni et al. 2026)Protocol: Germline FASTQ-to-VCF runtime by read depth, Parabricks v4.3.0 on V100 and A100 GPUs versus the CPU GATK equivalent (Marangoni et al. 2026 Table S1)
Dataset: Human WGS paired-end data at 30x, 40x, 50x, 60x and 100x average depth (Marangoni et al. 2026 Table S1)
2h 24m Runtime (Germline FASTQ to VCF; human WGS at 50x average depth)
minute · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs, runtime by depth (Marangoni et al. 2026)

model-execution-20261011-protocol-marangoni2026-germline-runtime-by-depth

Aggregation: Not reported

GeNePi: a graphics processing unit enhanced next-generation bioinformatics pipeline for whole-genome sequencing analysis; GeNePi: Supplementary Information · Supplementary Table S1 (page 7), row 'Avg. Reads Depth' 50x, column 'GPU-2xV100'
Configuration: Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs (Marangoni et al. 2026)Protocol: Germline FASTQ-to-VCF runtime by read depth, Parabricks v4.3.0 on V100 and A100 GPUs versus the CPU GATK equivalent (Marangoni et al. 2026 Table S1)
Dataset: Human WGS paired-end data at 30x, 40x, 50x, 60x and 100x average depth (Marangoni et al. 2026 Table S1)
3h 42m Runtime (Germline FASTQ to VCF; human WGS at 60x average depth)
minute · lower

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Parabricks germline v4.3.0 (GeNePi PB_germ) on 2 V100 GPUs, runtime by depth (Marangoni et al. 2026)

model-execution-20261011-protocol-marangoni2026-germline-runtime-by-depth

Aggregation: Not reported

GeNePi: a graphics processing unit enhanced next-generation bioinformatics pipeline for whole-genome sequencing analysis; GeNePi: Supplementary Information · Supplementary Table S1 (page 7), row 'Avg. Reads Depth' 60x, column 'GPU-2xV100'

Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.

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Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
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Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

2 source records and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: model-execution-20261011-config-marangoni2026-parabricks-4-3-0-2xv100

areas
dna-genomes
contexts
clinical_research
method types
conventional_pipeline
reported name
GPU-2xV100
foundation model eligible
false
hardware
description: Two Xeon 6244 CPUs, 384 GB RAM, two NVIDIA Tesla V100-PCIE-32GB (Supplementary S3.1)
protocol
GeNePi PB_germ module: Parabricks germline pipeline v4.3.0 (alignment to GRCh38, duplicate marking, BQSR, HaplotypeCaller)
access reuse
GeNePi is open source; Parabricks is NVIDIA software
source locator
Supplementary S3.1-S3.2; Table S1 column 'GPU-2xV100'
version
v4.3.0
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