Open Issues Need Help
View All on GitHub Make P2P work for EFA about 1 month ago
good first issue help wanted
Ultra and Unified CCL
C++
#ai#allreduce#amd#broadcom#collective#cuda#gpu#hpc#llm#networking#nvidia#rdma
Benchmarking uccl p2p with mooncake directly about 1 month ago
good first issue
Ultra and Unified CCL
C++
#ai#allreduce#amd#broadcom#collective#cuda#gpu#hpc#llm#networking#nvidia#rdma
AI Summary: Create an `examples` directory within the UCCL repository containing multiple PyTorch examples demonstrating UCCL usage with both Nvidia and AMD GPUs. These examples should expand upon the existing `run_ddp.sh` script, providing more comprehensive and illustrative use cases.
Complexity:
4/5
good first issue
Ultra and Unified CCL
C++
#ai#allreduce#amd#broadcom#collective#cuda#gpu#hpc#llm#networking#nvidia#rdma
Misc build should not depend on EFA 3 months ago
AI Summary: Modify the `misc/Makefile` in the UCCL project to remove the hard dependency on EFA (AWS Elastic Fabric Adapter) for miscellaneous builds. This involves adjusting the Makefile rules to conditionally skip builds that require EFA, ensuring that the miscellaneous components can be built even without EFA being present.
Complexity:
3/5
good first issue
Ultra and Unified CCL
C++
#ai#allreduce#amd#broadcom#collective#cuda#gpu#hpc#llm#networking#nvidia#rdma