Sluggish | Toy CPU and GPU implementations | GPU library
kandi X-RAY | Sluggish Summary
kandi X-RAY | Sluggish Summary
Toy CPU and GPU implementations of the Slug rendering algorithm
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QUESTION
So I was really ripping my hair out why two different sessions of R with the same data were producing wildly different times to complete the same task.
After a lot of restarting R, cleaning out all my variables, and really running a clean R, I found the issue: the new data structure provided by vroom
and readr
is, for some reason, super sluggish on my script. Of course the easiest thing to solve this is to convert your data into a tibble as soon as you load it in. Or is there some other explanation, like poor coding praxis in my functions that can explain the sluggish behavior? Or, is this a bug with recent updates of these packages? If so and if someone is more experienced with reporting bugs to tidyverse, then here is a repex
showing the behavior cause I feel that this is out of my ballpark.
ANSWER
Answered 2021-Jun-15 at 14:37This is the issue I had in mind. These problems have been known to happen with vroom, rather than with the spec_tbl_df
class, which does not really do much.
vroom
does all sorts of things to try and speed reading up; AFAIK mostly by lazy reading. That's how you get all those different components when comparing the two datasets.
With vroom:
QUESTION
I am making a desktop application using kivy & kivymd and when creating the settings screen for the app I used two MDRectangleFlatButon and MDRaisedButtons but to make them scalable, I gave both of them a size_hint_x of .5 for each to take up half of the screen. However, as soon as the program starts I get this warning from kivy:
...ANSWER
Answered 2021-Jun-11 at 13:01If you change the order of your Screens
definition, so that the "settings" Screen
is the first listed under ScreenManager
in your kv
, then the error messages go away. Then adding to the Example
class definition:
QUESTION
I experienced an extremely sluggish refresh time after adding Tailwind to my small Next project. I initially thought it was my device.
...ANSWER
Answered 2021-May-19 at 09:36I solved it by removing the
QUESTION
I am trying to format a number input so that I am able to display trailing zeros when necessary which is not possible by default. So I tried to overwrite the [ngModel] binding with a function according to this question and ended up with something like this:
...ANSWER
Answered 2021-May-12 at 16:54this try :
QUESTION
I want to write something like this, but it won't compile due to a mismatch between types:
...ANSWER
Answered 2021-May-04 at 06:29Should I ditch the and_then and always use the ? operator ?
That’s a personal judgement and only you can answer it.
Is there a way to make result combinator as smooth as the ? operator ?
Frankly speaking no. ?
performs conversions « implicitly » (not really implicitly since it’s very much part of its job, but the conversion doesn’t have to be invoked separately, maybe « tersely »?), and_then
does not. That means when using and_then
, you have to perform these conversions yourself. That seems logical.
You might be able to build a convenience macro for this tho. Or maybe add an extension method or wrapper type which can perform those conversions under the cover.
QUESTION
I have two tables. Tracks and metadata. Tracks can have multiple metadata attributes, but metadata can only be attached to a single track. The metadata table has a foreign key for a track ID, but the tracks table has no foreign keys for metadata. I am trying to find the best way to get this result:
...ANSWER
Answered 2021-Apr-18 at 10:46You should use aggregation. It is not clear exactly what your data looks like and what you want the results to look like. For instance, if you only want the bpm
column from metadata
(as your results suggests), then this puts that value in an array column called metadata
:
QUESTION
Below is a reprex of the data I'm working with. The geom_segment
calls make the rendering very sluggish. Is there an alternate way to achieve the same result more quickly?
ANSWER
Answered 2021-Apr-14 at 06:04Instead of adding each segment via a separate geom_segment
layer you could put all the data for the segments in one data frame and add the segments via one geom_segment
which according to microbenchmark
reduces the rendering time to about one fifth:
geom_segment
QUESTION
I am doing some parallelization for a school assignment. Converting pictures to grayscale. But ever since I implemented multiprocessing.Array
, I am getting terrible results. Even worse with increasing number of processors.
The speed was fine and as expected, when I was inputing the results into numpy array (but obviously I did not get a valid picture with that). But ever since I switched to the mp Array, it got this sluggish, but I got nice grayscale pictures from it.
I also tried implementing this with processexecutor, but it froze when I passed the mp Array as an argument (did not even reach pid print which was on the first line of the called function)
The Code:
...ANSWER
Answered 2021-Mar-02 at 21:57Every time you access a shared memory component like multiprocessing's Array, you necessarily engage some inter-process communication. This is slower than normal memory access, of course, and to make matters worse, it tends to lock the array, meaning your workers are mostly locking on each other, and not doing real work.
If instead of sending one pixel at a time, if you batch up the results, you can speed things up. For instance, if you change to a model of listing what pixels need to be updated, and have your main worker do the actual work of updating the target array:
QUESTION
I have a pretty big table in one of my Vue.js component. I want the current line and column to change color when the mouse is hover a cell.
For the row hover effect, it's pretty easy in CSS. But for the column, I have to do it in javascript (for various reason, I cannot use this trick in my current app).
Now, my problem is that using vue.js reactiveness to do this gets pretty slow when the table is too big. See the included snippet (I recommend opening it in full page) where the row hover effect is pretty reactive (done in CSS) and the column hover effect is very sluggish (done with vue.js).
I guess my solution is far from being the best so my question is: Is there a solution to get the column hover effect to be (almost) as reactive as the line hover effect ?
...ANSWER
Answered 2021-Feb-23 at 15:31Okay I got my solution, instead of using vue reactivity to change the hover class, I can set it directly on the element using refs. Speed is way better.
Snippet example :
QUESTION
I have a chart, and want to update it every 0.1 seconds. It seems to work, but right away after 100 updates or so it starts to get very sluggish and update very slowly, even though the data being plotted is the same.
Here is a code that illustrates the issue:
...ANSWER
Answered 2021-Feb-10 at 02:01You could maybe use matplotlib.animation.FuncAnimation()
, which improves updating plots significantly. Also TimedAnimation()
is available, where you can set a specific interval.
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