Protocol

SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1)

Wall-clock time, on-demand cost, speedup and cost saving for SomaticSniper on CPU machines and 2, 4 or 8 GPUs.

Overview

Wall-clock time, on-demand cost, speedup and cost saving for SomaticSniper on CPU machines and 2, 4 or 8 GPUs.

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11 recorded evaluations, 42 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.

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Results

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11 evaluations · 42 results. Different protocols are not a single leaderboard.

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External evaluations: 11

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Evidence

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Evidence table

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Sources and history

Release 2026-10-09-8cc1db47c7f9 · Record review: source checked

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Accelerating genomic workflows using NVIDIA Parabricks · Original source · BMC Bioinformatics 24:221, published 2023-05-31; PMC10230726 full-text XML

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Technical metadata and extraction receipts

Stable ID: model-execution-20261009-protocol-oconnell2023-somaticsniper

areas: dna-genomes
contexts: clinical_research
protocol: Somatic SomaticSniper workflow timed end to end on each machine; fold acceleration and % cost-savings are relative to the CPU machine on the same cloud platform.
version: Table 1 rows for Variant-caller 'SomaticSniper'
metric: runtime
unit: minute
limitations: One recorded run per configuration (Methods: 'we recorded the time of our final workflow run'); no repeats printed. DGX runs were repeated at least three times and only the final run is shown (Methods 'DGX configuration').; Costs are on-demand cloud prices at the time of the study and exclude storage and licences; DGX rows have no cost.; Authors are from Deloitte Consulting, an NVIDIA, AWS and Google alliance partner (Competing interests).; AWS GPU model is unresolved: the Table 1 footnote says the AWS GPU rows are the p3 family with V100 GPUs, but Results 'GPU performance across cloud platforms' paragraph 2 attributes the AWS savings printed in Table 1 (for example 63% for HaplotypeCaller with 4 GPUs) to the p4 machine with A100 GPUs. The printed AWS GPU costs equal runtime times 12.24 or 31.22 USD per hour, not the 32.8 USD per hour p4d price in the text.; Somatic callers run from a prepared BAM; accuracy on the 198 added SNVs is not reported.
source locator: Table 1, rows 56-66 (Variant-caller 'SomaticSniper')

Related records

Suggest a correction

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: CPU tools on AWS c6i.8xlarge (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	8.88 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on CPU tools on AWS c6i.8xlarge (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 56 (AWS, C6i.8xlarge, SomaticSniper), column 'Cost ($)'
Configuration: CPU tools on AWS c6i.8xlarge (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	392 runtime minute · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on CPU tools on AWS c6i.8xlarge (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 56 (AWS, C6i.8xlarge, SomaticSniper), column 'Time (min)'
Configuration: CPU tools on AWS c6i.8xlarge (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	6.53 runtime hour · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on CPU tools on AWS c6i.8xlarge (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 56 (AWS, C6i.8xlarge, SomaticSniper), column 'Time (h)'
Configuration: Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	17.1 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 57 (AWS, GPU2, SomaticSniper), column 'Cost ($)'
Configuration: Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	− 92.28% cost-saving percent · higher Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 57 (AWS, GPU2, SomaticSniper), column '% cost-savings'
Configuration: Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	83.7 runtime minute · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 57 (AWS, GPU2, SomaticSniper), column 'Time (min)'
Configuration: Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	1.4 runtime hour · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 57 (AWS, GPU2, SomaticSniper), column 'Time (h)'
Configuration: Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	4.68 speedup unitless · higher Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 2 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 57 (AWS, GPU2, SomaticSniper), column 'Fold acceleration'
Configuration: Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	27.4 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 58 (AWS, GPU4, SomaticSniper), column 'Cost ($)'
Configuration: Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	− 208.11% cost-saving percent · higher Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 58 (AWS, GPU4, SomaticSniper), column '% cost-savings'
Configuration: Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	134 runtime minute · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 58 (AWS, GPU4, SomaticSniper), column 'Time (min)'
Configuration: Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	2.24 runtime hour · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 58 (AWS, GPU4, SomaticSniper), column 'Time (h)'
Configuration: Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	2.92 speedup unitless · higher Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 4 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 58 (AWS, GPU4, SomaticSniper), column 'Fold acceleration'
Configuration: Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	75.2 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 59 (AWS, GPU8, SomaticSniper), column 'Cost ($)'
Configuration: Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	− 746.54% cost-saving percent · higher Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 59 (AWS, GPU8, SomaticSniper), column '% cost-savings'
Configuration: Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	144 runtime minute · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 59 (AWS, GPU8, SomaticSniper), column 'Time (min)'
Configuration: Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	2.41 runtime hour · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 59 (AWS, GPU8, SomaticSniper), column 'Time (h)'
Configuration: Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	2.71 speedup unitless · higher Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 8 GPUs on AWS (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 59 (AWS, GPU8, SomaticSniper), column 'Fold acceleration'
Configuration: Parabricks 3.7.0-1, 2 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	77.5 runtime minute · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 2 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 64 (DGX, GPU2, SomaticSniper), column 'Time (min)'
Configuration: Parabricks 3.7.0-1, 2 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	1.29 runtime hour · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 2 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 64 (DGX, GPU2, SomaticSniper), column 'Time (h)'
Configuration: Parabricks 3.7.0-1, 4 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	65 runtime minute · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 4 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 65 (DGX, GPU4, SomaticSniper), column 'Time (min)'
Configuration: Parabricks 3.7.0-1, 4 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	1.08 runtime hour · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 4 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 65 (DGX, GPU4, SomaticSniper), column 'Time (h)'
Configuration: Parabricks 3.7.0-1, 8 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	63.5 runtime minute · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 8 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 66 (DGX, GPU8, SomaticSniper), column 'Time (min)'
Configuration: Parabricks 3.7.0-1, 8 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	1.06 runtime hour · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 8 A100 GPUs on NVIDIA DGX A100 (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 66 (DGX, GPU8, SomaticSniper), column 'Time (h)'
Configuration: Parabricks 3.7.0-1, 2 A100 GPUs on GCP a2-highgpu (O'Connell et al. 2023)	Protocol: SomaticSniper execution on CPU and GPU cloud and DGX machines (O'Connell et al. 2023 Table 1) Dataset: Synthetic tumour BAM: HG002 30x with 198 SNVs added by SomatoSim v1.0.0	10.4 compute-cost us-dollar · lower Uncertainty: Not reported by the source: Single recorded run per cell; no repeats or intervals printed Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source SomaticSniper on Parabricks 3.7.0-1, 2 A100 GPUs on GCP a2-highgpu (O'Connell et al. 2023) model-execution-20261009-protocol-oconnell2023-somaticsniper Aggregation: Not reported Accelerating genomic workflows using NVIDIA Parabricks · Table 1, row 61 (GCP, GPU2, SomaticSniper), column 'Cost ($)'