By default, SEDA relies on the default RAM memory settings of the Java Virtual Machine in Linux and MAC OS systems and uses a default of 4Gb in Windows systems, although specific RAM memory settings can be specified as the Increasing RAM memory section explains. For computers with low RAM memory, the ‘Disk processing’ is recommended. This is the recommended option for small datasets or computers with a large amount of RAM available. When the button is selected, data is processed in RAM memory and thus SEDA should have enough memory to fit the entire dataset in memory. The SEDA interface includes an ‘In memory processing’ option that allows to control whether the dataset processing must be done in RAM memory or in hard disk. Toolbox with VirtualBox on Windows or Mac, and making use of Docker volumes. RAM memory requirements would depend on the size of the files to be processed. With Docker Compose you can easily configure, install, and upgrade your. For a detailed list of hardware requirements we recommend you to consult the official Java system requirements page ( ). Since SEDA runs on Java 8, it has no special CPU requirements as today’s computers are able to execute it.
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