Stata se stata mp code#
We have not rewritten the code for tabulate to support multiple cores, partly because tabulate is already very fast, and partly because the code for tabulate is isolated, so changing it will not improve the performance of other commands. OK, the timings with 24 cores are not quite the same as with the auto dataset, but well within comfortable interactive use.Ĭareful readers will have noticed that the 24-core and 1-core timings for twoway tabulation are the same. The two regressions included 50 covariates. Running on only one processor was not so much fun.įor your information, I set rmsg on and ran a few timings:Īll timings are on a 1 million observation dataset. My coffee cup was full, but I contemplated fetching a snack. Commands that were taking less than a second were now taking longer, too long. Out of curiousity, I turned off multicore support. I had never played interactively with a million-observation dataset before. I was running commands using 50 covariates on 1 million observations! Regressions, summary statistics, etc. It felt almost as though I were running on the auto dataset. This morning I was running Stata/MP interactively on a 24-core computer using a somewhat larger dataset.Īfter a while, I was struck by the fact that I wasn’t noticing any annoying delays waiting for commands to run. I run Stata/MP using all 4 cores of my quad-core computer, but I am mostly wasting 3 of them - there is no speeding up the computations on 74 observations. I will admit right now that I mostly run Stata interactively using the auto dataset, which has 74 observations.
That is the type of work Stata/MP was designed for - big jobs on big datasets. We usually run MP for large batch jobs that run thousands of timings on large datasets - either to tune performance or to produce reports like the Performance Report. What was unusual this morning is that I was running Stata/MP interactively. It is functionally equivalent to the largest version of Stata, Stata/SE, and it is faster on multicore computers.) (For those who don’t know, Stata/MP is the version of Stata that has been programmed to take advantage of multiprocessor and multicore computers. Hint: To find right tool for your client(Windows, Mac, etc.I was reviewing some timings from the Stata/MP Performance Report this morning. # 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 # Number of nodes and cores (processors per node) 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 se stata mp 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 se stata mp software#
Stata is a software package for statistical computations in research and development.