![stata mp 14 matsize stata mp 14 matsize](https://www.stata.com/features/overview/i/menu-nbreg.png)
Adding new variables is nearly 100 percent parallelized, and sorting is 75 percent parallelized. Speed can also be important when managing large datasets. STATA runs on the Windows, Mac, and Unix computers platform. Most users will probably work with the Intercooled (IC) version. The difference is basically in terms of the number of variables STATA can handle and the speed at which information is processed. The help file I recommended above shows the following limitations: 10 < < 11000 for Stata/MP and Stata/SE. Taken at the median, estimation commands run 1.8 times faster on 2 cores, 3.1 times faster on 4 cores, and 4.2 times faster on 8 cores. Introduction to Mata Circumventing the limits of Stata’s matrix language Even in Stata/SE or Stata/MP, with the possibility of a much larger matsize, Stata’s matrices have another drawback. There are several versions of STATA 14, such as STATA/IC, STATA/SE, and STATA/MP. However, it looks like you may not be able to create such a large matrix depending on your version of Stata. Some estimation commands can be parallelized more than others. Meanwhile, Mata matrices remain limited only by memory. Oh, and in Stata/MP, Stata matrices can now be up to 65,534 x 65,534, meaning you can fit models with over 65,000 right-hand-side variables. Speed on multiple cores relative to speed on a single core. Stata just works, and it uses less memory. Stata/MP provides the most extensive multicore support of any statistics and data management package. Almost every computer can take advantage of the advanced multiprocessing capabilities of Stata/MP. A few of Stata’s estimation procedures, including linear regression, are nearly perfectly parallelized, meaning they run twice as fast on two cores, four times as fast on four cores, eight times as fast on eight cores, and so on. Stata/MP is the fastest and largest edition of Stata. (I dont believe you can use Small Stata with the LCAPlugin.) Good luck. Speed is often most crucial when performing computationally intense estimation procedures. Note: If you have Stata/SE or Stata/MP instead of Stata/IC, you can skip steps 12-14 above, because the maximum matrix size limitations in the higher versions of Stata are much less restrictive. Stata/MP supports up to 64 cores/processors. Stata/MP runs even faster on multiprocessor servers. Stata/MP lets you analyze data in one-half to two-thirds the time compared with Stata/SE on inexpensive dual-core laptops and in one-quarter to one-half the time on quad-core desktops and laptops.