Cluster Computing
Showing 6 of 6 projects
Enables distributed TensorFlow training and inferencing on Apache Spark and Hadoop clusters with minimal code changes.
A high-performance distributed map/reduce system with DAG execution, written in Go, supporting standalone or distributed modes.
A distributed computation system written in Go for parallel and cluster processing, similar to Hadoop MapReduce and Spark.
An open-source implementation of the Message Passing Interface (MPI) specification for high-performance computing.
A cluster computing framework for processing large-scale geospatial data within Apache Spark, Flink, and other big data systems.
A blazingly fast, low-latency actor engine written in Go for building highly concurrent and distributed systems.
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