arpanpathak/gpu-parallel-book
📖 GPU parallel programming from the ground up : CUDA C++ and Rust 🦀 kernels paired with clickable SVG 2D/3D architecture diagrams (warps, SMs, memory tiers). Includes reduction, scan, matmul, and a full image‑processing capstone
Summary
The available public data is mixed. More sustained activity or a broader contributor base would strengthen the score.
arpanpathak/gpu-parallel-book recorded 31 commits in the past 30 days, has 1 public contributors, and has averaged 2 stars a day since launch.
Repository health
Maintainer track record
Repository quality
Catalyst Score
Contributors
Public track record
@arpanpathak · Repository owner
Established maintainer with a long public history and active community.
Score breakdown
How the Catalyst Score was calculated
Activity
Recent repository activity
31
Commits · 30d
1
Public contributors
2
Lifetime stars/day
0
Pull requests · 90d
Findings
What we found
31 commits in the last 30 days
1 public contributors
0 issues and 0 pull requests opened in 90 days
7 documentation and structure checks passed
Related repositories
book · 0 created in the past 30 days
Risk review
What needs watching
Public GitHub data cannot verify private work, employment claims, code security, or identity. Use the track-record score as research context, not proof of identity or trustworthiness.
Growth quality
Recent attention and maintainer concentration
Recent timestamps and contribution patterns help distinguish sustained adoption from a single headline number.
Contributor concentration
Top 1 public contributors
- Top contributor share
- 100%
- Top three share
- 100%
- Contributors checked
- 1
- Concentration
- High
Shares use the contribution totals reported for the contributors checked, not private or unlinked activity.
Recent commit sample
Latest 31 commits
- Unique authors
- 1
- Verified commits
- 0%
- Merge commits
- 0%
- Median time between commits
- 23 min
Repository footprint
Default branch: main
- Repository size
- 3.8 MB
- Branches
- 1
- Tags
- 0
- Watchers
- 0
Deeper GitHub data
Delivery, collaboration, and project readiness
These metrics use the latest public records GitHub makes available for this repository.
Language composition
Share of detected source bytes
Community readiness
GitHub community health 85%
Issue health
Latest 1 issues
- Closure rate
- 0%
- Median close time
- Not enough data
- Open
- 1
- Open without replies
- 1
CI reliability
Latest 29 workflow runs
- Success rate
- 100%
- Workflows represented
- 1
- Failed runs
- 0
- Median duration
- 0.4 min
Last checked
8/25/2026, 8:11:36 PM