Speed can also be important when managing large datasets. 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. Some estimation commands can be parallelized more than others. 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. Speed is often most crucial when performing computationally intense estimation procedures. 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.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |