You are, I believe, Asking the Wrong Question, or Worrying about the Wrong Thing. A well-designed LabVIEW routine "doing what LabVIEW is designed to do", i.e. server as a Laboratory Virtual Instrument Engineering Workbench, and handle such Engineering Tasks as acquiring "real-world" data from multiple sensors, analyzing it, and using it to make decisions, control other processes, and save data for later analyses, is, in most cases, running at exactly the right speed, and using exactly the right amount of Computer Resources.
Consider, for example, acquiring data and using those data to control a process. If the time-scale of the data and the process under control is on the order of milliseconds to seconds, it makes no sense to run the CPU at 100% utilization, collecting data at a mHz rate, "just because the CPU can handle it". What makes more sense is to design the routine so that it is easy to create, easy to understand, easy to debug, easy to modify and maintain, and easy to document and "hand off" to another person. LabVIEW (and a good LabVIEW developer) can do that.
If you are using 20-30% of your CPU, trying to single thread your code will not help it run any faster. Often, I see it slow down when trying to do that. Most commonly, I see speed ups by doing what LabVIEW is really good at: parallelization. The most common way I see this improve performance is by moving your File IO (ie logging) into a loop all of its own, leaving all of your other threads to run as fast as they need/can (Producer/Consumer).
Thank you for reply me back I am using window 10 it should go faster and my internet is pretty fast my internet speed is 25MBPS so its fast it show goes faster. Also has my e-mail to load faster when i click a message take a little while to load up and plus my e-mail is not IMAP its pop3 so its from centurylink but I do have IMAP has outlook.com. So if there is not a way to make it load faster on the program and e-mail then i just have to deal with it. Also if your free license key exspire can i get it again or get new key or when it exspire you cant get another free license key? Please reply me back
As a Hail Mary, I'm still hoping for a solution that will actually get the Input Data tool itself to run faster. But forgetting that, I think a slightly easier way than the batch macro is to use a Dynamic Input tool. And then set the entire query as the "String to Replace" and just write my SQL query in an "input text" tool
I just think, after watching a lot of different tutorials on Youtube, this issue are the red thread, when it comes to 1) have to make sure you use fill containers and other settings in auto layout 2) need to adjust the design for different/ each device sizes.
Peter Blake was a practical New Zealander and a veteran of ocean sailing and racing. So instead of fancy spread sheets and performance metrics, he focused the team on one single strategic question: Will it make the boat go faster?
Layout plotting for printing in QGIS, when files have thousands of polygons, is blocking at every small move I make or any change in the caption. Im am using QGIS 3.30.3 with a very fast computer (i7, 32gb RAM, graphic card with 8gb RTX3070) so it should not be this problem of hardware or software.
However, I find it hard to believe the tips of those tiny grass blades will cut cleanly without scorching / burning. You might experiment with different settings for those features: run some speed / power tests using sections of grass and see if faster is better.
Remember that the maximum speed applies to long straight vectors, like perimeter cuts around the bases. On short vectors and curves, like grass, the laser cannot reach that speed, so reducing the power may produce better results than trying to run faster.
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Thanks for the info. Yeah I thought there might be a better way to group those graphics together to make them cut out faster. The grass somehow cuts out surprisingly well.
The material is 3mm MDF if that makes any difference. Also, when I was using the honeycomb bed, there were issues with cutting and I had to elevate the materials to cut better, but I have permanently removed the honeycomb bed and just use the knife bed and everything cuts out so much easier now.
Python 3.11 is now available and faster than ever! You can download it at Python.org. Check out the release notes to learn about all the features and optimizations that many developers including those on the Faster CPython Team have been working on for the past few years. You can also find out more about what the Faster CPython Team has in mind for 3.12 in their ideas repo on Github.
Very nice. Would be great if Microsoft could also make a .Net/CLR version of Python, or (what i think would be even better), keep Boo language alive and support the few remaining developers of this brilliant tool.
I have a dataframe which has city column and I am passing this city to the dynamic prompt(mentioned below in the fourth part of the code shown below) and taking the number of jobs and filing in the other column of the dataframe so as of now in the code mentioned below I am passing the prompt & calling the api for each record(city). I have about 100 records and for that it takes about 25 mins. Is there a faster & cheaper way to do it for all the 100 records instead of calling the api everytime for each record.
The code I have written to extract Data Scientist opportunities for a specific city with few-shot learning(In this case I am trying to pass 3 examples to the api to show it how I want to the output in return) giving me an output. But this does not seems to the fastest and optimised version. Could any one please help me make it optimise and show me how the same thing can be done in lesser number of steps.
At a time when some are calling for a pause on the development of generative artificial intelligence, Jensen Huang, founder and CEO of NVIDIA, has an argument for accelerating the work: AI advances are going to provide tools to better understand the technology and to make it safer, Huang said in a discussion with Goldman Sachs Asset Management.
This article is being provided for educational purposes only. The information contained in this article does not constitute a recommendation from any Goldman Sachs entity to the recipient, and Goldman Sachs is not providing any financial, economic, legal, investment, accounting, or tax advice through this article or to its recipient. Neither Goldman Sachs nor any of its affiliates makes any representation or warranty, express or implied, as to the accuracy or completeness of the statements or any information contained in this article and any liability therefore (including in respect of direct, indirect, or consequential loss or damage) is expressly disclaimed.
Hi @tbdori - are you creating visuals as table type? Since the data set is already in SPICE, QuickSight should be faster. 3-4M rows is very high for a reporting. We should build some graphs, aggregation on top of the data.
NOTE: At time of writing this was run on a MacOS VM, as the project was written in MacOS, and because there were issues building the project on Ubuntu Linux; ideally, if using a Docker image with most binaries pre-compiled this might be faster, surely.
In addition to local browser caching, Shopify caches pages on the server side. The first time a page is loaded, it might be slower, but later page loads are faster because customers are receiving a cached copy.
The `` Liquid object injects assets used by a variety of online store features, including performance analytics and optional features like dynamic checkout buttons. Loading this object and related assets has an impact on the speed of your store. Shopify is optimizing the tag and its assets to make it faster.
It has also found a way to speed up a key algorithm used in cryptography by 30%. These algorithms are among the most common building blocks in software. Small speed-ups can make a huge difference, cutting costs and saving energy.
For one thing, Sanders points out that AlphaDev only uses a subset of the instructions available in assembly. Many existing sorting algorithms use instructions that AlphaDev did not try, he says. This makes it harder to compare AlphaDev with the best rival approaches.
Do you want to make photos load faster on your website? Good thinking! Image optimization is one of the first steps toward a blazing-fast web page. Images are an integral part of your branding, and they are useful to showcase a product, promote a destination, or even create a powerful ad banner. Images and media can also help to explain tough concepts and can be very appreciated on a blog. Sometimes, they are even more important than the text itself!
Image compression is the most efficient technique to reduce your file size and ensure your page loads quickly. There are two types of compression: lossy and lossless. Lossy is the best technique to load the photo on a web page faster.
Another efficient way to make photos load faster on a website is to size them properly for desktop, tablet, and mobile. Images uploaded on your site should be sized based on the screen dimensions they will be displayed on. For example, here are the recommended image dimensions for WordPress:
The best image formats for website speed are next-gen formats like WebP and AVIF. They both provide better compression than the traditional PNG or JPEG, which means faster downloads and less data consumption.
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