HPC Context for Mycelia

关于

This skill provides specialized guidance for executing the Mycelia multiomic analysis framework on large-scale HPC systems. It streamlines benchmark management, SLURM job submissions, and resource allocation while ensuring cross-platform portability and codebase maintainability. By incorporating best practices for memory estimation, directory structure, and environment-agnostic path handling, it allows researchers to scale complex biological characterization and prediction tasks from local machines to enterprise-grade clusters efficiently.

主要功能

• SLURM workload management and sbatch submission patterns
• Cross-platform portability with standardized path handling and environment testing
• Architectural standards for extending Mycelia functionality within HPC constraints
• 6 GitHub stars
• Tiered benchmarking support for small, medium, and large-scale runs
• Memory estimation and resource allocation guidance for multiomic data

使用场景

• Optimizing SLURM job scheduling for resource-intensive biological characterization and design
• Executing automated performance benchmarks across various computational resource tiers
• Scaling multiomic data integration workflows from local development to HPC clusters