2 papers
cs.DC2026
MSCCL++: Rethinking GPU Communication Abstractions for AI Inference
Changho Hwang, Peng Cheng, Roshan Dathathri +12
AI applications increasingly run on fast-evolving, heterogeneous hardware to maximize performance, but general-purpose libraries lag in supporting these features. Performance-minde…
cs.NI2025
ForestColl: Throughput-Optimal Collective Communications on Heterogeneous Network Fabrics
Liangyu Zhao, Saeed Maleki, Yuanhong Wang +4
As modern DNN models grow ever larger, collective communications between the accelerators (allreduce, etc.) emerge as a significant performance bottleneck. Designing efficient comm…