Burak Yavuz

TL;DR: MLlib as mentioned in this paper is an open-source distributed machine learning library for Apache Spark that provides efficient functionality for a wide range of learning settings and includes several underlying statistical, optimization, and linear algebra primitives.

TL;DR: Structured Streaming is a new high-level streaming API in Apache Spark based on the experience with Spark Streaming that achieves high performance via Spark SQL's code generation engine and can outperform Apache Flink by up to 2x and Apache Kafka Streams by 90x.

TL;DR: MLlib as discussed by the authors is an open-source distributed machine learning library for Apache Spark that provides efficient functionality for a wide range of learning settings and includes several underlying statistical, optimization, and linear algebra primitives.

TL;DR: In this paper, the authors describe matrix computations available in the cluster programming framework, Apache Spark, which is able to exploit the computational power of a cluster, while running code written decades ago for a single core.

TL;DR: A comprehensive set of benchmarks for hardware accelerated matrix computations from the J VM, which is interesting in its own right, as many cluster programming frameworks use the JVM.