rpc-bench

I don't think there's any official benchmarks, but I did find that someone benchmarked it 5 years ago [1]. Aeron also provides a benchmarking tool [2]. [1] https://github.com/benalexau/rpc-bench/tree/master/results/2... [2] https://github.com/real-logic/benchmarks

Disclaimer: I built dl4j and will be highly biased. A lot of what we see is deployment to production. We are embedded in a few apache projects now as well as other "enterprise" suites like knime. The reason for this is simplicity and integration with the JVM as well as supplemental addons for things like ETL (see: jdbc, hdfs, kafka,spark,..) as well as what I think is the easiest way to do both multi threaded model serving and data parallel training (parallelwrapper and parallelinfernece). We also made things tunable from the JVM (eg: You can configure cuda, native cpu variables, blas libraries,..) from the JVM. We import python models as well. We aren't heavily used in the research world but are used at scale (especially in china). Something we will have coming up is also the ability to import tensorflow models (right now we have keras 1

It's great to see a message broker that's optimised for performance - having looked at the source of a few of the more popular brokers it's clear that there's a lot of overhead in many of them (object allocation/boxing, multiple copies being made of the data, inefficient serialisation, verbose wire protocols and so on). I'd be really interested to see how uTT performs compares to Aeron[0], which, while not MQTT, as far as I'm aware it is the fastest message transport around[1,2]. [0] https://github.com/real-logic/Aeron [1] https://github.com/benalexau/rpc-bench [2] http://akka.io/blog/2016/12/05/aeron-in-artery

We use all 3 for network communications. Here is an aeron microbenchmark: https://github.com/benalexau/rpc-bench Of note is akka uses it for its internal remoting: http://blog.akka.io/artery/2016/12/05/aeron-in-artery We will be using it for RPC and distributed deep learning: http://engineering.skymind.io/interview-with-adam-gibson-cre...