The Case for Co-Designing Model Architectures with Hardware

Documenti analoghi

• Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning
  di: Xu, Lang, et al.
  Pubblicazione: (2025)
• Demystifying the Communication Characteristics for Distributed Transformer Models
  di: Anthony, Quentin, et al.
  Pubblicazione: (2024)
• Exploiting Inter-Layer Expert Affinity for Accelerating Mixture-of-Experts Model Inference
  di: Yao, Jinghan, et al.
  Pubblicazione: (2024)
• Accelerating Large Language Model Training with Hybrid GPU-based Compression
  di: Xu, Lang, et al.
  Pubblicazione: (2024)
• From Skew to Symmetry: Node-Interconnect Multi-Path Balancing with Execution-time Planning for Modern GPU Clusters
  di: Yao, Jinghan, et al.
  Pubblicazione: (2026)