AMPLab Publications

• SparkR: Scaling R Programs with Spark
• MLlib: Machine Learning in Apache Spark
• Spark SQL: Relational Data Processing in Spark
• A Partitioning Framework for Aggressive Data Skipping
• GraphX: Graph Processing in a Distributed Dataflow Framework
• Fine-grained Partitioning for Aggressive Data Skipping
• GraphX: Unifying Data-Parallel and Graph-Parallel Analytics
• GraphX: A Resilient Distributed Graph System on Spark
• The Case for Tiny Tasks in Compute Clusters
• Shark: SQL and Rich Analytics at Scale
• Finding Related Tables
• Shark: Fast Data Analysis Using Coarse-grained Distributed Memory (Best Demo Award)
• CrowdDB: Query Processing with the VLDB Crowd (Best Demo Award)
• CrowdDB: Answering Queries with Crowdsourcing