Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

"Async" CCLs Support Master Issue #14562

Open
22 of 34 tasks
SeanNijjar opened this issue Nov 1, 2024 · 0 comments
Open
22 of 34 tasks

"Async" CCLs Support Master Issue #14562

SeanNijjar opened this issue Nov 1, 2024 · 0 comments
Assignees
Labels
feature op_cat: ccl P1 perf for issues tracking performance problems/improvements tg-llama

Comments

@SeanNijjar
Copy link
Contributor

SeanNijjar commented Nov 1, 2024

Phase 1: Initial Async CCLs (TG Llama configs only ini initial support list, full tensor granularity for synchronization)

EDM Fabric

  • Linear Topology EDM Fabric
    • Chip Unicast command support
    • Chip Multicast command support
    • Noc Unicast
    • Noc Multicast
    • Noc Atomic Inc Command

CCL Command Support

Bugs

Perf: Parallel with end of Phase 1 and Phase 2

Phase 2: Add finer granularity tensor synchronization

  • Expose slicing to model developer, inject atomic incs after each one
    • Model dev/op caller gets full control over granularity and schedule
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
feature op_cat: ccl P1 perf for issues tracking performance problems/improvements tg-llama
Projects
None yet
Development

No branches or pull requests

2 participants