Arena: Efficiently Training Large Models via Dynamic Scheduling and Adaptive Parallelism Co-Design

Documenti analoghi

• MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters via Spatial-Temporal Backbone Multiplexing
  di: Xue, Chunyu, et al.
  Pubblicazione: (2026)
• Towards Fast Setup and High Throughput of GPU Serverless Computing
  di: Zhao, Han, et al.
  Pubblicazione: (2024)
• Harli: SLO-Aware Co-location of LLM Inference and PEFT-based Finetuning on Model-as-a-Service Platforms
  di: Xu, Ao, et al.
  Pubblicazione: (2025)
• SageSched: Efficient LLM Scheduling Confronting Demand Uncertainty and Hybridity
  di: Gan, Zhenghao, et al.
  Pubblicazione: (2026)
• S-HPLB: Efficient LLM Attention Serving via Sparsity-Aware Head Parallelism Load Balance
  di: Liu, Di, et al.
  Pubblicazione: (2026)