Download Stata/MP 17 for Windows 11, 10, 8, 7 (64-bit) free is The world’s number one tool for data management and statistical analysis. Powerful and flexible for any research challenge – any data set, any analytical need. Stata’s interface-at the command line and with a rich set of tools in the Windows GUI-allows for ease of use.
StataCorp Stata/MP 17 is the most powerful version of Stata, and the fastest version of Stata, because Stata/MP 17 utilizes all your computer’s processors. This means that modern computer hardware can now run many more Stata calculations at one time.
If you often work with very large datasets or frequently need to execute complex models and do not currently have Stata/MP 17, this program can save you significant time.
Stata/MP performs analysis in one-half to two-thirds the time compared with Stata/SE when using inexpensive dual-core laptops and in one-quarter to one-half the time on quad-core desktops and laptops. It works even faster on multiprocessor servers. Stata/MP works up to 64 cores/processors.
Stata/SE can perform analysis of up to 2 billion observations. However, Stata/MP can handle up to 10 to 20 billion observations on the largest available computers and is prepared to analyze up to 1 trillion observations when the computer technology will allow that. Also, Stata/MP can have 120,000 variables in comparison with 32,767 variables available for Stata/SE.
There are some procedures which cannot be parallelized and some which are inherently sequential, therefore they run at the same speed in both versions. In order to get full information about Stata/MP performance, see command-by-command statistics.
Stata/MP is a multiprocessor and multicore version of Stata software. The main aim of the creation of Stata/MP is the faster work speed. Most of the new Stata features were parallelized and run much faster in Stata/MP.
Researchers, analysts, students, healthcare, education and science all can benefit. Stata/MP 17 allows for statistical calculations, visualization of information, data management of large amounts of data, and the building of statistical models.