Guide building, debugging, and launching MPI applications in HPC environments.
npx skills add https://github.com/SciMate-AI/HPC-Skills --skill hpc-mpi
Please help me install this Agent Skill. Skill: hpc-mpi Source: https://github.com/SciMate-AI/HPC-Skills/tree/main/skills/hpc-mpi Command: npx skills add https://github.com/SciMate-AI/HPC-Skills --skill hpc-mpi
This Skill addresses the complexities of building, reviewing, debugging, and launching MPI-based applications across various HPC environments, ensuring efficient and robust workflows.
Use the hpc-mpi skill to get guidance on debugging an MPI application with Open MPI.
High-intent search queries and answers about installing and using this skill.
Choosing the right MPI implementation for your HPC environment depends on your specific hardware and software stack. This Skill provides comprehensive guidance to evaluate and select the optimal implementation for robust application performance.
The best way to debug an MPI application running on Open MPI is using detailed references and diagnostic templates. This Skill offers troubleshooting guidance to efficiently identify and resolve common issues within your MPI workflows.
To optimize the launch configuration for MPI applications, you need appropriate tools and configurations tailored to your HPC setup. This Skill provides guidelines for building and launching applications with optimized settings.
Yes, you need existing knowledge of HPC environments and MPI applications to use this MPI optimization guidance effectively. The Skill requires this prerequisite understanding to address the complexities of building, debugging, and launching workflows.
Your MPI application launch might be failing across diverse HPC environments due to suboptimal build tools or configuration mismatches. This Skill helps troubleshoot common issues and provides guidelines to ensure efficient and robust workflow execution.
SciMate-AIAutomate CUDA toolchain setup, GPU-aware MPI, and scheduler integration for HPC workflows.
ps-carvalhoProfile CPU and memory usage to identify and fix performance bottlenecks.
wangx7Configure Kueue job queues and deploy batch workloads on GKE clusters.
jeremy-allenProfile and benchmark R code to identify performance bottlenecks.
