Distributed Systems

Scalable Tail Latency Estimation for Data Center Networks NSDI 2023 SECRECY: Secure collaborative analytics in untrusted clouds NSDI 2023 SelfTune: Tuning Cluster Managers NSDI 2023 Sequence Parallelism: Long Sequence Training from System Perspective ACL 2023 Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning NSDI 2023 Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays NSDI 2023 SPEEDEX: A Scalable, Parallelizable, and Economically Efficient Decentralized EXchange NSDI 2023 TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches NSDI 2023 The Benefit of Hindsight: Tracing Edge-Cases in Distributed Systems NSDI 2023 Unlocking the Heterogeneous Landscape of Big Data NLP with DUUI EMNLP 2023 3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation ICML 2022 A Deep Learning Dataloader with Shared Data Preparation NeurIPS 2022 Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI 2022 AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness NeurIPS 2022 An edge-queued datagram service for all datacenter traffic NSDI 2022 ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems AAAI 2022 Aquila: A unified, low-latency fabric for datacenter networks NSDI 2022 Asynchronous Distributed Optimization with Stochastic Delays AISTATS 2022 A Variant of Concurrent Constraint Programming on GPU AAAI 2022 BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster CVPR 2022 C2DN: How to Harness Erasure Codes at the Edge for Efficient Content Delivery NSDI 2022 Carbink: Fault-Tolerant Far Memory OSDI 2022 CloudCluster: Unearthing the Functional Structure of a Cloud Service NSDI 2022 Cocktail: A Multidimensional Optimization for Model Serving in Cloud NSDI 2022 Collie: Finding Performance Anomalies in RDMA Subsystems NSDI 2022