![]() ![]() ![]() We actively investigate, code, and test new algorithms in data management and estimation routines, and we will keep you informed of the latest developments. We continuously look for ways to make Stata faster. processors or one processor with multiple cores makes no difference. ![]() Similar speed improvements occurred for different numbers of panels, time periods, and slope coefficients. Stata/MP lets you analyze data in one-half. In our timings, models with 10,000 panels, 10 time periods, and 5 random slope parameters run 2 to 3 times faster in Stata 17 than in Stata 16. Last, but not least, the mixed command for fitting multilevel mixed-effects models is faster. It imports large datasets up to four times faster in Stata 17. The import delimited command for importing data from CSV and other delimited text files is now parallelized in Stata/MP. LAPACK is used in computations by many estimation commands, so they are automatically faster too. Timing of multiplication of two real matrices in seconds: How much faster is the new MKL? Multiplying a 5,000-by-5,000 real matrix in Stata/SE with a real matrix of the same dimension takes about 13 seconds using MKL in Stata 17 compared with 70 seconds in Stata 16. The Linear Algebra Package (LAPACK) underlying many of Mata's functions and operators is now powered by Intel Math Kernel Library (MKL). Table 2: Stata 17 versus Stata 16 timings in seconds for 10,000,000 observations for different variable number and edition combinations Variables and editionįor Stata 17, we also attained speed improvements for estimation. Table 2 shows the results for collapsing a dataset with 10,000,000 observations and varying numbers of collapsed variables for the case where we compute medians and standard deviations. In Stata 17, depending on dataset size, collapse sees speedups of between 6 and 13 times for computation of a simple mean and between 40 and 70 times for computation of statistics like medians and standard deviations. As the size of the data grows, so necessarily does the runtime. The collapse command creates a dataset of summary statistics and is one of the most commonly-used data management commands. Timings run in Windows 10 on a computer with an i9-9900KS processor at 4.00GHz and 64GB RAM Table 1: Stata 17 versus Stata 16 timings in seconds for 20 variables and different observation numbers and edition combinations ![]() For example, with 10 million observations and 20 variables, timings dropped to close to 3 seconds in Stata/SE 17 from close to 20 seconds in Stata/SE 16! sort is somewhere between 1.5 and 6 times faster, as is shown in Table 1, below. Because the sort command is used by many other Stata commands, these commands, too, are faster. It then goes up to 3.5 to 5 Mbps for 720p at 60 fps. In Stata 17, we updated the algorithms behind sort and collapse to make these commands faster. According to Twitchs broadcasting guidelines, youll need a bit rate of at least 2.5 to 4 Mbps to play at 720p and 30 frames per second. We are continuously optimizing and improving our routines to utilize modern computing power and algorithms so that Stata runs even faster. There is often a tradeoff between the two, but Stata strives to give users the best of both worlds. scholar at University of Waikato School of Accounting, Finance, and Economics However, I am very happy with the new update. I am not sure how Intel will perform with the new "Intel Math Kernel Library (MKL)" update. Stata 16.1 used to take 8 minutes to complete that task now Stata 17 takes 3 minutes to complete similar tasks. I also ran few other commands where I manipulate the data. On my Stata 16.1 MP8, my data with 44.7 Million obs used to take 30 seconds to sort now on stata 17 MP8, it is taking 16.1 seconds to sort. I am using AMD Ryzen 7 4800H with 40GbRam. But now you can shift under load - and it actually shifts better when there is a lot of load because the new Shimano chain and cassette work so well together.I just got my Stata 17 and I see huge improvements. “Before, we didn’t realize how much we were taking it easy on drivetrains, actually soft-pedaling when we were really trying to accelerate. “It’s really changed the way we shift,” explains Nick Murdick, Shimano North America Mountain Bike Product Manager. Now, riders can make smooth and seamless shifts at any time, and that means less momentum loss, increased efficiency, and no more compromises. Gone are the days when you had to back off the gas, then shift, then start pedaling again. The 12-speed mountain bike cassettes feature new ramp designs, so whether you’re shifting up the cassette into an easier gear or dropping down into a harder option, HYPERGLIDE+ allows (if not encourages) you to continue pedaling. Shimano's HYPERGLIDE+ technology revolutionized shifting performance with the smoothest and most precise shifting for all riding conditions. ![]()
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