Algorithm 1025: PARyOpt: A Software for <u>P</u> arallel <u>A</u> synchronous <u>R</u> emote Ba <u>y</u> esian <u>Opt</u> imization

PARyOpt 1 is a Python based implementation of the Bayesian optimization routine designed for remote and asynchronous function evaluations. especially attractive computational due to its low cost footprint as well ability account uncertainties in data. A key challenge efficiently deploy any strategy on distributed computing systems synchronization step, where data from multiple calls assimilated identify next campaign calls. provides an elegant approach overcome this issue via updates. We formulate, develop implement parallel, variant optimization. The framework robust resilient external failures. show how such evaluations help reduce total wall clock time suite test problems. Additionally, we software design allows easy extension response surface reconstruction (Kriging), providing high performance autonomous exploration. available PyPI, with examples documentation.