AMPLab Publications

• KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics
• Matrix Computations and Optimization in Apache Spark
• SparkR: Scaling R Programs with Spark
• MLlib: Machine Learning in Apache Spark
• Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics
• The Power of Choice in Data-Aware Cluster Scheduling
• PBS at Work: Advancing Data Management with Consistency Metrics (Demo)
• The Case for Tiny Tasks in Compute Clusters
• Presto: Distributed Machine Learning and Graph Processing with Sparse Matrices
• Sweet Storage SLOs with Frosting
• Cake: Enabling High-level SLOs on Shared Storage Systems
• Probabilistically Bounded Staleness for Practical Partial Quorums