Workflow for porting an existing Triton kernel in fla/ops/ to Gluon (triton.experimental.gluon) to gain explicit control over tensor layouts, shared memory, async data movement (cp.async / TMA), MMA (WGMMA / tcgen05), and scheduling (persistent kernels, warp specialization). Covers when a port is worth it, an incremental porting sequence that keeps numerical parity at every step, a Triton-to-Gluon API mapping, compile-time / autotune / smem-budget management for heavily unrolled kernels, and a pitfall checklist (proxy fences, mbarrier semantics, layout costs, bitwise-cancellation traps, NaN-poisoned OOB handling). Use when a Triton kernel is register-bound, when numstages pipelining underperforms, or when Hopper/Blackwell features (TMA, TMEM, tcgen05) are needed.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryScience & researchStars0
About this skill
Workflow for porting an existing Triton kernel in fla/ops/ to Gluon (triton.experimental.gluon) to gain explicit control over tensor layouts, shared memory, async data movement (cp.async / TMA), MMA (WGMMA / tcgen05), and scheduling (persistent kernels, warp specialization). Covers when a port is worth it, an incremental porting sequence that keeps numerical parity at every step, a Triton-to-Gluon API mapping, compile-time / autotune / smem-budget management for heavily unrolled kernels, and a pitfall checklist (proxy fences, mbarrier semantics, layout costs, bitwise-cancellation traps, NaN-poisoned OOB handling). Use when a Triton kernel is register-bound, when numstages pipelining underperforms, or when Hopper/Blackwell features (TMA, TMEM, tcgen05) are needed.
Quick start
Copy the install prompt. Use the green button above this README.
Send it to your agent. Paste it into your coding agent’s chat and send.
Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Workflow for porting an existing Triton kernel in `fla/ops/**` to Gluon (`triton.experimental.gluon`) to gain explicit control over tensor layouts, shared memory, async data movement (cp.async / TMA), MMA (WGMMA / tcgen05), and scheduling (persistent kernels, warp specialization). Covers when a port is worth it, an incremental porting sequence that keeps numerical parity at every step, a Triton-to-Gluon API mapping, compile-time / autotune / smem-budget management for heavily unrolled kernels, and a pitfall checklist (proxy fences, mbarrier semantics, layout costs, bitwise-cancellation traps, NaN-poisoned OOB handling). Use when a Triton kernel is register-bound, when `num_stages` pipelining underperforms, or when Hopper/Blackwell features (TMA, TMEM, tcgen05) are needed.
About this listing
Category
Science & research
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.