Author

Yin-Bin Ma

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#machine learning Preprint Oct 2026

Architecting for Hardware Diversity: Meta's End-to-End Co-Design for High-Performance AI Training on AMD GPUs

Meta deploys a heterogeneous fleet comprising NVIDIA GPUs, AMD GPUs, and proprietary MTIA accelerators to reduce costs and mitigate vendor lock-in. However, the extensive history of NVIDIA-specific optimizations hinders performance portability to other hardware. This paper presents our methods for optimizing alternativ...

Hao-Yu Zhang, Arshad Rahman, Adnan Aziz et al. · 0 citations

Jul 2026

ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation

This work proposes Request-Oriented Compute Sharing (ROCS), a modeling and inference paradigm that exploits a unique property of recommendation inference: each user request is evaluated against many candidates, while request-side features are shared across candidates.

Yuxin Chen, Liang Luo, Buyun Zhang et al. · arXiv.org · 0 citations