Speaker

Shivaram Venkataraman, PhD Candidate at UC Berkeley

Shivaram Venkataraman

PhD Candidate, UC Berkeley

Shivaram Venkataraman is a fifth year PhD student at the University of California, Berkeley and works with Mike Franklin and Ion Stoica at the AMP Lab. He is a committer on the Apache Spark project and his research interests are in designing systems for large scale machine-learning. Before coming to Berkeley, he completed his M.S at the University of Illinois, Urbana-Champaign and worked as a Software Engineer at Google.

Sessions

Drizzle—Low Latency Execution for Apache Spark

Drizzle is a low latency execution engine for Apache Spark that is targeted at stream processing and iterative workloads. Currently, Spark uses a BSP computation model, and notifies the scheduler at the end of each… Read more

Ernest: Efficient Performance Prediction for Advanced Analytics on Apache Spark

Recent workload trends indicate rapid growth in the deployment of machine learning, genomics and scientific workloads using Apache Spark. However, efficiently running these applications on cloud computing infrastructure like Amazon EC2 is challenging and we… Read more