Distributed Systems

GRAPHENE: Packing and Dependency-Aware Scheduling for Data-Parallel Clusters OSDI 2016 Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016 History-Based Harvesting of Spare Cycles and Storage in Large-Scale Datacenters OSDI 2016 Just Say NO to Paxos Overhead: Replacing Consensus with Network Ordering OSDI 2016 Machine-Aware Atomic Broadcast Trees for Multicores OSDI 2016 MLlib: Machine Learning in Apache Spark JMLR 2016 Morpheus: Towards Automated SLOs for Enterprise Clusters OSDI 2016 Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling JMLR 2016 Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NeurIPS 2016 Simplifying Datacenter Network Debugging with PathDump OSDI 2016 Slicer: Auto-Sharding for Datacenter Applications OSDI 2016 TensorFlow: A System for Large-Scale Machine Learning OSDI 2016 To Waffinity and Beyond: A Scalable Architecture for Incremental Parallelization of File System Code OSDI 2016 webASR 2 — Improved Cloud Based Speech Technology Interspeech 2016 Distributed Matrix Completion and Robust Factorization JMLR 2015 Distributed Submodular Cover: Succinctly Summarizing Massive Data NeurIPS 2015 Extending Gossip Algorithms to Distributed Estimation of U-statistics NeurIPS 2015 Fast Distributed k-Center Clustering with Outliers on Massive Data NeurIPS 2015 Parallel Correlation Clustering on Big Graphs NeurIPS 2015 An Asynchronous Parallel Stochastic Coordinate Descent Algorithm ICML 2014 Communication Efficient Distributed Machine Learning with the Parameter Server NeurIPS 2014 Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning NeurIPS 2014 DFacTo: Distributed Factorization of Tensors NeurIPS 2014 Distributed Balanced Clustering via Mapping Coresets NeurIPS 2014 Distributed Power-law Graph Computing: Theoretical and Empirical Analysis NeurIPS 2014