Hi All, I am using Amelia to impute a time series data set generated from sensors in an industrial setting. Doing that for 8 variables (I only picked continuous variables for imputation) and ~40M readings (a reading/second). Here is my Amelia code: Test <- amelia(Query1[1:2e6,], m=3, p2s=2, cs=NULL, ts=”TIME”, incheck = T, parallel = “snow”, ncpus = 3, collect = T, Idvars = c(“D78”, “D82”, “D83”), lags = “C0”, “C1”, “C5”, “C6”, “C16”, “C17”, “C18”, “C19”), leads = “C0”, “C1”, “C5”, “C6”, “C16”, “C17”, “C18”, “C19”)) The code runs fine as long as the number of readings does not exceed ~1.2M. After that I receive the following error: Error in unserialize(node$con) : error reading from connection Some investigation shows that this has to do with the parallel workers. I noticed that the memory/worker does not exceed ~4GB and then goes back down before generating the error. I am running Windows Server 2016 with Oracle Distribution of R v 3.3.0. Amelia is version 1.7.4. I tried to troubleshoot with Oracle Community support before finding out that the issue also occurs when the data is a data.frame and not an ORE.Frame. Here is the link for the troubleshooting thread - https://community.oracle.com/thread/4109587 <https://urldefense.proofpoint.com/v2/url?u=https-3A__community.oracle.com_thread_4109587&d=DwMFaQ&c=WO-RGvefibhHBZq3fL85hQ&r=EwICq0J5pL8CwgEJz8qkmauGonk0XmiLpxcYOEgk2a0&m=6Ukf78WEjh01-Uzq7yaiFlRX2J-Vf6ru3isDPUxraL4&s=ekhID04RDx7Za5SBFmQb8Mgw1BsaPwmlG738pXzWxcY&e=> Appreciate your support. Regards, Akthem