RRepoGEO

REPOGEO REPORT · LITE

THU-DSP-LAB/ventus-gpgpu

Default branch master · commit 68117254 · scanned 6/13/2026, 10:07:35 PM

GitHub: 916 stars · 126 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 THU-DSP-LAB/ventus-gpgpu, 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

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

OVERALL DIRECTION
  • hightopics#1
    Add specific topics for GPGPU hardware and RISC-V

    Why:

    COPY-PASTE FIX
    gpgpu, riscv, hardware-design, chisel, vector-processor, high-performance-computing, open-source-hardware
  • mediumhomepage#2
    Add the project homepage to the repository's About section

    Why:

    COPY-PASTE FIX
    https://opengpgpu.org.cn
  • mediumabout#3
    Expand the repository's About description

    Why:

    CURRENT
    GPGPU processor supporting RISCV-V extension, developed with Chisel HDL
    COPY-PASTE FIX
    An open-source GPGPU hardware architecture supporting the RISC-V vector extension, developed using Chisel HDL for high-performance computing research.

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 THU-DSP-LAB/ventus-gpgpu
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SystemVerilog
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SystemVerilog · recommended 1×
  2. chipsalliance/chisel3 · recommended 1×
  3. VHDL · recommended 1×
  4. SpinalHDL/SpinalHDL · recommended 1×
  5. myhdl/myhdl · recommended 1×
  • CATEGORY QUERY
    How to design custom GPGPU hardware using a modern hardware description language?
    you: not recommended
    AI recommended (in order):
    1. SystemVerilog
    2. Chisel (chipsalliance/chisel3)
    3. VHDL
    4. SpinalHDL (SpinalHDL/SpinalHDL)
    5. MyHDL (myhdl/myhdl)
    6. UVM
    7. Vivado HLS
    8. Catapult HLS
    9. Rocket Chip (chipsalliance/rocket-chip)
    10. BOOM (riscv-boom/boom)

    AI recommended 10 alternatives but never named THU-DSP-LAB/ventus-gpgpu. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking open-source GPGPU solutions compatible with the RISC-V vector extension for custom hardware.
    you: not recommended
    AI recommended (in order):
    1. Mesa 3D
    2. OpenCL
    3. Vulkan
    4. ROCm

    AI recommended 4 alternatives but never named THU-DSP-LAB/ventus-gpgpu. 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 THU-DSP-LAB/ventus-gpgpu?
    pass
    AI named THU-DSP-LAB/ventus-gpgpu explicitly

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

  • If a team adopts THU-DSP-LAB/ventus-gpgpu in production, what risks or prerequisites should they evaluate first?
    pass
    AI named THU-DSP-LAB/ventus-gpgpu 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 THU-DSP-LAB/ventus-gpgpu solve, and who is the primary audience?
    pass
    AI named THU-DSP-LAB/ventus-gpgpu explicitly

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

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THU-DSP-LAB/ventus-gpgpu — 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