Co-occurring keywords · papers mentioning both
Papers
Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling
CVPR 2026
Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training
NSDI 2026
Revisiting Pipeline Parallelism for LLM Serving
OSDI 2026
SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing
AAAI 2026
Sparse Checkpointing for Fast and Reliable MoE Training
NSDI 2026
Tessera: A Holistic Pipeline Parallelism Framework for Trillion-Parameter Heterogeneous MoE Training (Operational Systems)
OSDI 2026
DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
ICCV 2025
Efficient Long Context Fine-tuning with Chunk Flow
ICML 2025
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
CVPR 2025
Nesterov Method for Asynchronous Pipeline Parallel Optimization
ICML 2025
PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization
ICML 2025
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
ACL 2025
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
NAACL 2025
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters
AAAI 2025
WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training
OSDI 2025
BBQ: A Fast and Scalable Integer Priority Queue for Hardware Packet Scheduling
NSDI 2024
DISTMM: Accelerating Distributed Multimodal Model Training
NSDI 2024
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism
ICML 2024
HexGen: Generative Inference of Large Language Model over Heterogeneous Environment
ICML 2024
HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices
NAACL 2024
Pipeline Parallelism with Controllable Memory
NeurIPS 2024
Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training
ICML 2024
Practical Performance Guarantees for Pipelined DNN Inference
ICML 2024
Zero Bubble (Almost) Pipeline Parallelism
ICLR 2024
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs
NSDI 2023