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NVIDIA/nvshmem

SkillsMP has collected 9 skills from NVIDIA/nvshmem. Open a skill to review its source and details.

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skills collected
9
GitHub stars
578
GitHub forks
104

Skills in this repository

classification pending

Showing 9 of 9 collected skills.

occupation
unclassified
description

Route NVSHMEM tuning to data collection, remote transport, NIC-to-PE mapping, or TMA. Do not use for unrelated CUDA, NCCL, or application tuning.

updated
occupation
unclassified
description

Collect and package NVSHMEM put/get bandwidth, latency, and other perftest results with system and topology evidence for performance sanity checks.

updated
occupation
unclassified
description

Select an NVSHMEM remote transport from target system and kernel evidence. Use for inter-node selection, compatibility checks, or configuration.

updated
occupation
unclassified
description

Recommend NVSHMEM NIC-to-PE mappings and environment exports. Use for HCA selection, multi-NIC configuration, or topology-based mapping diagnostics.

updated
occupation
unclassified
description

Diagnose NVSHMEM runtime failures and prepare bug reports for launch, initialization, crashes, hangs, correctness, transport, or topology issues.

updated
occupation
unclassified
description

Prepare or review NVSHMEM CUDA kernels for TMA SMEM registration and direct-SMEM transfers. Do not use for unrelated CUDA tuning.

updated
occupation
unclassified
description

Guide NVSHMEM beginners through fit assessment, mental models, first C/C++ or Python NVSHMEM programs, compilation, launching, and next steps. Use for onboarding.

updated
occupation
unclassified
description

Plan and validate NVSHMEM and NVSHMEM4Py installations. Use for package, container, or source deployments.

updated
occupation
unclassified
description

Find version-aware official NVSHMEM and NVSHMEM4Py documentation for releases, installation, APIs, runtime settings, transports, containers, and troubleshooting.

updated
Showing 9 of 9 collected skills.