Co-occurring keywords · papers mentioning both
Papers
BatchGen: An Architecture for Scalable and Efficient Batch Inference
OSDI 2026
Efficient LLM Serving on Commodity GPU Clusters with Data-Reduced Cross-Instance Orchestration
OSDI 2026
EROICA: Online Performance Troubleshooting for Large-scale Model Training
NSDI 2026
FAST: An Efficient Scheduler for All-to-All GPU Communication
NSDI 2026
FLARE: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale
NSDI 2026
SpiderFlow: Efficient Topology-Aware Scheduling for LLM Training Across Decentralized GPU Clusters
ACL 2026
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
AAAI 2025
When will my ML Job finish? Toward providing Completion Time Estimates through Predictability-Centric Scheduling
OSDI 2024
MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters
NSDI 2022
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition
AAAI 2021
AntMan: Dynamic Scaling on GPU Clusters for Deep Learning
OSDI 2020
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
OSDI 2020
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters
CVPR 2016