nf-core/configs
May 2026 – May 2026
1 Month active
Languages Used
Groovy
Technical Skills
ApptainerContainerizationHPC configurationNextflowSLURM
Nick Semenkovich
PROFILE
Nick Semenkovich
Developed and integrated a new institutional profile for the Medical College of Wisconsin Research Computing Center within the nf-core/configs repository, focusing on scalable HPC support. The work centered on enabling GPU-aware and memory-conscious task routing by leveraging SLURM and Apptainer, with routing logic that directs jobs to appropriate partitions based on per-core and per-node memory requirements or GPU needs. This feature supports four cluster partitions and automates resource allocation, improving both resource utilization and onboarding for institutional users. The implementation was validated through end-to-end integration testing using Nextflow and Groovy, ensuring efficient deployment and maintainability for HPC workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
233
Activity Months1
Your Network
94 peopleSame Organization
@mcw.edu1
Shared Repositories
93
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for nf-core/configs: Focused on enabling scalable HPC support for the MCW RCC cluster by delivering a GPU-aware, memory-conscious task routing profile. Key accomplishment: new MCW RCC institutional profile integrated with SLURM and Apptainer, with automatic routing of tasks based on memory usage and GPU requirements. The feature includes four partitions (normal, bigmem, gpu, ood) and routes tasks to bigmem when per-core memory (7680 MB) or per-node (360 GB) limits would be exceeded; GPU tasks route to the gpu partition with a single device. This was tested against the live cluster using nf-core/rnaseq -r 3.22.2 -profile test.Impact: improved resource utilization, streamlined onboarding for institutional users, and enabled efficient GPU-enabled workflows. Technologies/skills demonstrated: SLURM, Apptainer, nf-core profiles, memory-aware routing logic, end-to-end integration testing with a live cluster.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for nf-core/configs: Focused on enabling scalable HPC support for the MCW RCC cluster by delivering a GPU-aware, memory-conscious task routing profile. Key accomplishment: new MCW RCC institutional profile integrated with SLURM and Apptainer, with automatic routing of tasks based on memory usage and GPU requirements. The feature includes four partitions (normal, bigmem, gpu, ood) and routes tasks to bigmem when per-core memory (7680 MB) or per-node (360 GB) limits would be exceeded; GPU tasks route to the gpu partition with a single device. This was tested against the live cluster using nf-core/rnaseq -r 3.22.2 -profile test.Impact: improved resource utilization, streamlined onboarding for institutional users, and enabled efficient GPU-enabled workflows. Technologies/skills demonstrated: SLURM, Apptainer, nf-core profiles, memory-aware routing logic, end-to-end integration testing with a live cluster.
May 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Groovy
Technical Skills
ApptainerContainerizationHPC configurationNextflowSLURM
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