RRepoGEO

REPOGEO REPORT · LITE

ByteDance-Seed/Triton-distributed

Default branch main · commit 2b4c24b5 · scanned 5/26/2026, 1:18:11 AM

GitHub: 1,443 stars · 146 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface ByteDance-Seed/Triton-distributed, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen the README's opening statement to clarify its core function

    Why:

    CURRENT
    # Triton-distributed

Original Triton README | [README in Chinese](README-cn.md)

Triton-distributed is a distributed compiler designed for computation-communication overlapping, which is based on OpenAI Triton.
    COPY-PASTE FIX
    # Triton-distributed: A Distributed Compiler for Parallel Systems

Original Triton README | [README in Chinese](README-cn.cn]

Triton-distributed is a high-performance distributed compiler designed for computation-communication overlapping, built upon OpenAI Triton. It enables programmers to develop efficient GPU kernels comparable to highly-optimized libraries for parallel systems.
  • mediumabout#2
    Refine the repository description for better clarity on its purpose

    Why:

    CURRENT
    Distributed Compiler based on Triton for Parallel Systems
    COPY-PASTE FIX
    A distributed compiler built on OpenAI Triton, enabling efficient, highly-optimized GPU kernel development for parallel systems with computation-communication overlapping.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface ByteDance-Seed/Triton-distributed
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MPI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MPI · recommended 2×
  2. OpenMP · recommended 2×
  3. CUDA-aware MPI · recommended 1×
  4. GASNet · recommended 1×
  5. UPC++ · recommended 1×
  • CATEGORY QUERY
    How to develop efficient distributed kernels for parallel systems with computation-communication overlap?
    you: not recommended
    AI recommended (in order):
    1. MPI
    2. OpenMP
    3. CUDA-aware MPI
    4. GASNet
    5. UPC++
    6. Charm++
    7. Legion
    8. Kokkos
    9. RAJA

    AI recommended 9 alternatives but never named ByteDance-Seed/Triton-distributed. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable highly optimized distributed GPU kernel development comparable to existing libraries?
    you: not recommended
    AI recommended (in order):
    1. CUDA C++
    2. MPI
    3. NCCL (NVIDIA/nccl)
    4. HIP (ROCm-Developer-Tools/HIP)
    5. ROCm
    6. RCCL (ROCm-Developer-Tools/rccl)
    7. OpenMP
    8. OpenCL C
    9. SYCL
    10. Kokkos (kokkos/kokkos)

    AI recommended 10 alternatives but never named ByteDance-Seed/Triton-distributed. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of ByteDance-Seed/Triton-distributed?
    pass
    AI named ByteDance-Seed/Triton-distributed explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts ByteDance-Seed/Triton-distributed in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ByteDance-Seed/Triton-distributed explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo ByteDance-Seed/Triton-distributed solve, and who is the primary audience?
    pass
    AI named ByteDance-Seed/Triton-distributed explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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ByteDance-Seed/Triton-distributed — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite