![stata mp 13 2 core product stata mp 13 2 core product](https://www.stata.com/includes/contimages/wwsm.gif)
- STATA MP 13 2 CORE PRODUCT HOW TO
- STATA MP 13 2 CORE PRODUCT UPGRADE
- STATA MP 13 2 CORE PRODUCT CODE
- STATA MP 13 2 CORE PRODUCT SERIES
Probably $800 in the upgrade since everything had to be changed but the video card (new CPU required new Motherboard which required new RAM). I was hoping for a little more, but I'll take it. Before upgrade it took 165 seconds and now it takes 97 seconds (40% improvement). The Adata NVMe drive is super fast, but apparently played no role (but might with less RAM).Īnother project I was working on had a two-way FE regression with about 300,000 observations. Bootstrap was only about 32% faster, which again was less than hoped for and consistent with the CPU clock-speed increase. MP-affected commands improved more than the others. The range of improvements was 30% to 70%. On average, processing time was 50% of the pre-upgrade level. I suspect Stata will run fine on 16GB RAM, so the 32GB was probably overkill (though maybe not for really large data sets). Stata MP4.įormer CPU had a base close of 2.9 GHz and 4 cores. Average CPU usage for the program was about 17% and memory usage about 25%. Overclocking is "Auto" mode on the ASUS B450-F Motherboard (averaging 4.01 GHz on a base clock of 3.7 GHz for 8 cores). Adata 1TB M.2 NVMe Drive (not used during the program). You'll find that the more you help others understand your problem, the more likely others are to be able to help you solve your problem.
STATA MP 13 2 CORE PRODUCT CODE
Screenshots and other pictures are discouraged, and It's recommended to copy commands and output from the Stata Results window and paste them into the Statalist post using code delimiters and, and also to use the dataex command when providing sample data.
STATA MP 13 2 CORE PRODUCT HOW TO
Take a few moments to review the Statalist FAQ linked to from the top of the page, and note especially sections 9-12 on how to best pose your question. While it doesn't matter for the purposes of this topic, for future topics you may well improve the likelihood of response with improved presentation. That would allow you to estimate percentage improvement from the upgrade and that from increasing the number of processors. 4), and the command, and an indicator of whether the command is expected to scale. I'd think it would be interesting to fit a model to your performance data with log(time) as the dependent variable and categorical variables for the computer (old v. Mvtest xtile expand_drop arfima eigenv, stats(median mean sd min max) columns(s)Īm I correct in assuming that the Stata/MP version 15 results represent your new computer, and the Stata/SE 13 results represent your old computer? Tabstat replace regress predict correl bootstrap /// Summ replace regress predict correl bootstrap mvtest xtile expand_drop arfima eigenv Qui bootstrap, reps(25): reg y x1 x2 x3 x4 Qui reg y x1 x2 x3 x4 // first time is always very slow Matrix colnames R = replace correl regress predict bootstrap ///
![stata mp 13 2 core product stata mp 13 2 core product](https://www.stata.com/includes/contimages/matrix1sm.gif)
My upgrade includes a Ryzen 2700X processor (8 core), an Adata NVMe drive, and 32GB ram (DDR4). I think the median is probably the best indicator, since the mean can be affected by the outliers.ĬOMPUTER: I7-870 (4 cores no overclock) Sandisk 512gb SSD 32GB Ram (DDR3) Video AMD HD 5770 (a pair in SLI for a 4-monitor rig). I run each command 10 times to get a distribution, since at times I experienced some outliers for some commands (though not so much now). And, I create a 500x500 matrix to run a matrix command.
![stata mp 13 2 core product stata mp 13 2 core product](https://www.timberlake.co.uk/media/wysiwyg/forest-graph.png)
STATA MP 13 2 CORE PRODUCT SERIES
I also create a Z variable of 50 observations to conduct a time series model. I first create 4 random variables (X's 500,000 obs) and then create a Y based on the X's and a random disturbance. I have Stata 13SE on my desktop, so I ran it in that version as well. It was an interesting project, and unfortunately I don't have Stata 15 SE running (though I'm thinking about installing it since I have it, just for the test). I'm curious if anyone has any better ideas. I'm presently running Stata 15 MP(4), so for comparison purposes I chose 5 commands that scale 1:1 with the number of cores and 5 commands that do not scale at all by cores (according to Stata's analysis). I wanted to see how my new computer compares to my existing one, so I wrote a program implementing 10 commands (10 times each). After helping my son upgrade his gaming machine, I decided it was time to upgrade my 8-year old desktop.