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Distributed Systems

327 directly classified papers

Papers per year

Papers

EbbRT: A Framework for Building Per-Application Library Operating Systems OSDI 2016
Cyclades: Conflict-free Asynchronous Machine Learning NIPS 2016
Big Data Analytics over Encrypted Datasets with Seabed OSDI 2016
GRAPHENE: Packing and Dependency-Aware Scheduling for Data-Parallel Clusters OSDI 2016
History-Based Harvesting of Spare Cycles and Storage in Large-Scale Datacenters OSDI 2016
Don’t Get Caught in the Cold, Warm-up Your JVM: Understand and Eliminate JVM Warm-up Overhead in Data-Parallel Systems OSDI 2016
Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling JMLR 2016
Exploring the Hidden Dimension in Graph Processing OSDI 2016
To Waffinity and Beyond: A Scalable Architecture for Incremental Parallelization of File System Code OSDI 2016
Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016
Morpheus: Towards Automated SLOs for Enterprise Clusters OSDI 2016
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NIPS 2016
Machine-Aware Atomic Broadcast Trees for Multicores OSDI 2016
Slicer: Auto-Sharding for Datacenter Applications OSDI 2016
TensorFlow: A System for Large-Scale Machine Learning OSDI 2016
Just Say NO to Paxos Overhead: Replacing Consensus with Network Ordering OSDI 2016
MLlib: Machine Learning in Apache Spark JMLR 2016
webASR 2 — Improved Cloud Based Speech Technology INTERSPEECH 2016
Simplifying Datacenter Network Debugging with PathDump OSDI 2016
Distributed Submodular Cover: Succinctly Summarizing Massive Data NIPS 2015
Distributed Matrix Completion and Robust Factorization JMLR 2015
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014
Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014
Principal Component Analysis and Higher Correlations for Distributed Data COLT 2014
On Communication Cost of Distributed Statistical Estimation and Dimensionality NIPS 2014