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hpc-cluster-tooling

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UpdatedJune 9, 2026 at 17:01

Practitioner knowledge base for the practical workflow tooling of HPC clusters — the command-line skills around writing, building, debugging, profiling, and running scientific code at scale. Use when working on a cluster or HPC project's toolchain: Unix shell for HPC (pipes, grep/sed/awk, ssh/rsync, tmux, environment modules); build automation with Make (targets, rules, automatic variables, pattern rules, parallel make); the CMake build system (out-of-source builds, find_package, target-based commands, build types); git version control with HPC discipline (gitignore, LFS, reproducibility tagging); debugging with GDB (breakpoints, watchpoints, backtrace, core dumps); memory and parallel debugging (Valgrind, AddressSanitizer/ThreadSanitizer, MPI debugging, DDT/TotalView); profiling and benchmarking (gprof, perf, PAPI hardware counters, TAU parallel profiling/tracing); and SLURM batch job management (sbatch/squeue/scancel, #SBATCH directives, job arrays, dependencies, login vs compute nodes). Covers the cluster

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