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hoyathali/MultiGPUMatMul

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This project leverages multiple Graphics Processing Units (GPUs) to accelerate matrix multiplication across distributed networks. By dividing large matrices into smaller sections (Bands) and distributing these sections across GPUs, we achieve significant computational speed improvements. This approach combines the Compute Unified Device Architectur

active 2024-02-18 → 2024-09-10 (UTC)

Complete coverage27,980 / 27,980 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-23 (UTC)
Events
35
Pushes
29
Pull requests
0
Issues
0
Stars
1
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 206 days from 2024-02-18 to 2024-09-10. Pushes: 29 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
rebinsilva151500
hoyathali141400

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.