Re: Tune Up Utilities 2012 Portable Hot
Eilal Pichardo
Does norton Utilities work the same as the computer tune but with more features? what kind of features does Utilities provies that the that computer tune up don't? Is it worth getting Utilities even if a computer tune up is all you need?
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I am using KiCad V7.0.7 in a Win64 laptop. In my PCB layout, I have differential clocks. I am able to tune the length of these pairs very well. There are some caveats with trace length reporting between what is displayed in the tune tool, the message panel and the Net Inspector. I understand these differences and can get my pairs to a desired length.
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The Gurobi Optimizer provides a wide variety ofparameters that allow you to controlthe operation of the optimization engines. The level of controlvaries from extremely coarse-grained (e.g., theMethod parameter, which allows you tochoose the algorithm used to solve continuous models) to veryfine-grained (e.g., theMarkowitzTol parameter, whichallows you to adjust the tolerances used during simplex basisfactorization). While these parameters provide a tremendous amount ofuser control, the immense space of possible options can present asignificant challenge when you are searching for parameter settingsthat improve performance on a particular model. The purpose of theGurobi tuning tool is to automate this search.The Gurobi tuning tool performs multiple solves on your model,choosing different parameter settings for each solve, in a search forsettings that improve runtime. The longer you let it run, the morelikely it is to find a significant improvement. If you are using aGurobi Compute Server, you can harness the power of multiple machinesto perform distributed parallel tuning in order to speed up the searchfor effective parameter settings.The tuning tool can be invoked through two different interfaces. Youcan either use the grbtune command-line tool, or you can invoke it from one ofour programming language APIs. Bothapproaches share the same underlying tuning algorithm. Thecommand-line tool offers more tuning features. For example, it allowsyou to provide a list of models to tune, or specify a list of basesettings to try(TuneBaseSettings).A number of tuning-related parameters allow you to control theoperation of the tuning tool. The most important is probablyTuneTimeLimit, which controlsthe amount of time spent searching for an improving parameter set.Other parameters includeTuneTrials (which attempts tolimit the impact of randomness on the result),TuneCriterion (which specifiesthe tuning criterion),TuneResults (which controls thenumber of results that are returned), andTuneOutput (which controls theamount of output produced by the tool).Before we discuss the actual operation of the tuning tool, let usfirst provide a few caveats about the results. While parametersettings can have a big performance effect for many models, theyaren't going to solve every performance issue. One reason is simplythat there are many models for which even the best possible choice ofparameter settings won't produce an acceptable result. Some modelsare simply too large and/or difficult to solve, while others may havenumerical issues that can't be fixed with parameter changes.Another limitation of automated tuning is that performance on a modelcan experience significant variations due to random effects(particularly for MIP models). This is the nature of search. TheGurobi algorithms often have to choose from among multiple, equallyappealing alternatives. Seemingly innocuous changes to the model(such as changing the order of the constraint or variables), or subtlechanges to the algorithm (such as modifying the random number seed)can lead to different choices. Often times, breaking a single tie ina different way can lead to an entirely different search. We've seencases where subtle changes in the search produce 100X performanceswings. While the tuning tool tries to limit the impact of theseeffects, the final result will typically still be heavily influencedby such issues.The bottom line is that automated performance tuning is meant to givesuggestions for parameters that could produce consistent, reliableimprovements on your models. It is not meant to be a replacement forefficient modeling or careful performance testing.
Subsections
- Command-Line Tuning
- Tuning API
Next: Command-Line Tuning Up: Gurobi Optimizer Reference Manual Previous: Concurrent Optimizer
To help make configuring TimescaleDB a little easier, you can use the timescaledb-tunetool. This tool handles setting the most common parameters to good values basedon your system. It accounts for memory, CPU, and PostgreSQL version.timescaledb-tune is packaged with the TimescaleDB binary releases as adependency, so if you installed Timescale from a binary release (includingDocker), you should already have access to the tool. Alternatively, you can usethe go install command to install it:
If you are starting on a fresh instance and don't want to approve each group ofchanges, you can automatically accept and append the suggestions to the end ofyour postgresql.conf by using some additional flags when you run the tool:
I've noticed that the "Tune Menu" allows for modification of the individual temperature settings for the 5 tool heads. Unfortunately, this seems relatively useless as the setting will be overwritten as soon as the tool changes.
For example: I have a 2 color print in progress. I notice that the default setting of 210 degrees for Nozzle 1 seems to be too hot. I go to the Tune Menu, I select Nozzle 1 Temperature, and I reduce the temperature to 205. The nozzle temperature setting on Tool 1 drops to 205.
I mean, I can see WHY this happens: The GCODE for temperature setting probably gets resent every tool change. Unfortunately this makes the setting pretty meaningless on anything other than the first layer.
I'm not sure you can fix it except for in the sliced file. It lowers extruder head temp when parked so the G-Code. When it needs that head again it's going to return to the temp setting you set in the slicer. It's literally hard coded in lines of the G-Code where the tool change is.
There is no fixing it while the print is running because it's just reading the G-Code. You can change the temp but when it comes to that line in the g code where it needs to heat back up it's going to read the temperature written on that line in the code.
This is no different than say for example manually changing the fan speed. If you manually changed the fan speed and your part has an overhang, the fan speed will get changed when it reaches that point in the g code for a overhang. Then it'll return to what your had set in the slicer again because it's written in the G-Code.
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