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# Open an interactive batch session, e.g.: Ssh -X # use -X for X-forwarding on the Cluster # use -X for ssh X-forwarding to connect to bwUniCluster or bwForCluster MLS&WISO # Output is automatically saved in analyse.log Stata/SE allows datasets with as many as 32,767 variables while Stata/MP. # Number of nodes and cores (processors per node) Both are available in either a command-line or graphical user interface (GUI). To show environment variables, which will be available after 'module load'Īfter loading the Stata module with the following start-up commands are possible:Įxample scripts are available in the directory $STATADIR/bwhpc-examples If Stata is available you can load a specific version or you can load the default version with You do not have to care about parallelization Stata/MP manages this for you. The graphical user interface and the statistical functions are the same. Working with Stata/MP does not differ from working with other Stata variants. Due to internal shared-memory parallelization you can expect a speed-up for large-scale applications.
Stata mp vs stata se license#
The license allows the usage of the multiprocessing variant Stata/MP for up to 16 cores. Many statistical methods are available.Ī list of versions currently available on all bwHPC-C5-Clusters can be obtained from theįor Stata the following variants are available:
Stata mp vs stata se pdf#
Stata/BE can have at most 798 independent variables in a model.Īll the above Stata editions have the same complete set of features and include PDF documentation.Stata is a software package for statistical computations in research and development. Stata/BE allows datasets with as many as 2,048 variables and 2 billion observations. Stata/SE can analyse up to 2 billion observations. Stata/SE and Stata/MP can fit models with more independent variables than Stata/BE (up to 10,998). If you are unfamiliar with this particular software, you can. (Which helps students, using this software throughout the program). They have the same statistical tools, data management and graphics abilities. Stata/MP- for multiprocessor computers Stata/IC This is the slandered and commonly used version Stata/SE which support large databases Small Stata- which is a smaller version used for educational purpose. Stata/SE and Stata/BE differ only in the dataset size that each can analyse. Stata/MP can analyse 10 to 20 billion observations given the current largest computers, and is ready to analyse up to 1 trillion observations once computer hardware catches up. Stata/MP can also analyse more data than any other edition of Stata. For example, if your machine has eight cores, you can purchase a Stata/MP licence for eight cores, four cores, or two cores. You can purchase a Stata/MP licence for up to the number of cores on your machine (maximum is 64).
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Stata/MP, Stata/SE, and Stata/BE run on any computer with supported operating systems, but Stata/MP runs faster. With more than two cores or processors, Stata/MP is even faster. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. This includes the Intel i3, i5, i7, i9, Xeon, and Celeron, and AMD multi-core chips. In this example, we are using Stata/SE which has as a maximum 10,998 variables. Most current computers can take advantage of the advanced multiprocessing of Stata/MP. If we are using Stata/MP, then the maximum number of variables is 65,532. Stata/MP is the fastest and largest edition of Stata.