Extended Data Fig. 8: Runtime and memory performance on chr1 of HG002. | Nature Methods

Extended Data Fig. 8: Runtime and memory performance on chr1 of HG002.

From: Cue: a deep-learning framework for structural variant discovery and genotyping

Extended Data Fig. 8

a. Sequential runtime. Cue’s runtime is divided into indexing and calling. Lumpy’s runtime is divided into indexing, calling (short block), and genotyping. b. Sequential peak memory. c. Effect of PyTorch parallelism on calling time of Cue. In ‘multi-CPU’ mode we do not limit PyTorch to use a specific number of threads.

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