Usenix Atc '19 - Analysis Of Large-Scale Multi-Tenant Gpu Clusters For Dnn Training Workloads

USENIX ATC '19 - Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads

USENIX ATC '19 lightning talk: Analysis of Large-Scale GPU Clusters for DNN Training Workloads

USENIX ATC '20 - HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through

OSDI '22 - Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters

USENIX ATC '19 - MTS: Bringing Multi-Tenancy to Virtual Networking

USENIX ATC '23 - Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation...

USENIX ATC '19 - DistCache: Provable Load Balancing for Large-Scale Storage Systems...

USENIX ATC '21 - Scaling Large Production Clusters with Partitioned Synchronization

USENIX ATC '22 - CRISP: Critical Path Analysis of Large-Scale Microservice Architectures

USENIX ATC '19 - Dayu: Fast and Low-interference Data Recovery in Very-large Storage Systems

USENIX ATC '19 - Orca: Differential Bug Localization in Large-Scale Services

NSDI '19 - Tiresias: A GPU Cluster Manager for Distributed Deep Learning

Efficient and Multi-Tenant Scheduling of Big Data and AI Workloads

USENIX ATC '24 - OPER: Optimality-Guided Embedding Table Parallelization for Large-scale...

USENIX ATC '22 - Memory Harvesting in Multi-GPU Systems with Hierarchical Unified Virtual Memory

USENIX ATC '21 - LODIC: Logical Distributed Counting for Scalable File Access

USENIX ATC '19 - A Retargetable System-Level DBT Hypervisor