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Pipeline Gpu Kernel

Category: Engineering  ·  Sub-category: architecture  ·  Last updated:
Apply software pipelining (double-buffering) to a tiled GPU kernel to overlap global memory loads with Tensor Core computation. Covers prologue/loop/epilogue restructuring, LDG-register vs cp.async (LDGSTS) variant selection based on compute/load ratio, shared memory budget verification against architecture-specific occupancy cliffs, and SASS-level verification of load/compute overlap.

About this skill (catalog notes)

Pipeline Gpu Kernel includes pricing or quota commentary; 8 code blocks for direct copy-paste. At roughly 2,672 words the SKILL.md is on the longer end of the catalog distribution.

Source
pjt222.github.io/agent-almanac
License
MIT
Original author
pjt222
Indexed lastmod
Catalog position
Engineering · architecture
Indexed related skills
10

How Pipeline Gpu Kernel fits the catalog

Pipeline Gpu Kernel sits in the Engineering category under the architecture sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

From the source SKILL.md

Apply software pipelining (double-buffering) to a tiled GPU kernel so that global memory loads for tile N+1 overlap with Tensor Core computation on tile N. Transform a sequential load-sync-compute-sync K-loop into a prologue/loop/epilogue structure, choose between LDG-register and cp.async (LDGSTS) variants based on compute/load ratio, verify shared memory stays under the architecture occupancy cliff, and confirm load/compute overlap in the final SASS.

What this skill does

Pipeline Gpu Kernel is a community-contributed Claude Code skill in the architecture sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/pipeline-gpu-kernel/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Pipeline Gpu Kernel Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 94,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/pipeline-gpu-kernel
curl -L https://claudskills.com/skills/pipeline-gpu-kernel/SKILL.md \
  -o ~/.claude/skills/pipeline-gpu-kernel/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/pipeline-gpu-kernel/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/pipeline-gpu-kernel/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\pipeline-gpu-kernel\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Pipeline Gpu Kernel Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/pipeline-gpu-kernel/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Pipeline Gpu Kernel skill do?
Apply software pipelining (double-buffering) to a tiled GPU kernel to overlap global memory loads with Tensor Core computation. Covers prologue/loop/epilogue restructuring, LDG-register vs cp.async (LDGSTS) variant selection based on compute/load ratio, shared memory budget verification against architecture-specific occupancy cliffs, and SASS-level verification of load/compute overlap.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Pipeline Gpu Kernel skill?
Use Pipeline Gpu Kernel when your Claude Code task falls under the Engineering category — specifically in the architecture area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Pipeline Gpu Kernel" or describe the task and let Claude pick). Browse related skills at /category/engineering/.
What is a Claude Code skill and how does the Pipeline Gpu Kernel skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Pipeline Gpu Kernel is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
pjt222. (2026). Pipeline Gpu Kernel [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/pipeline-gpu-kernel/
BibTeX
@misc{pipeline-gpu-kernel-2026,
  author    = {pjt222},
  title     = {Pipeline Gpu Kernel [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/pipeline-gpu-kernel/}
}

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