New submitter writes: AMD processors get rated and reviewed based on performance. It is in our self-interest to make things work really, really fast on AMD hardware. AMD engineers contribute to LibreOffice, for good reason. Think about what happens behind a spreadsheet calculation. There can be a huge amount of math.

Writing software to take advantage of a Graphics Processing Unit (GPU) for general purpose computing is non-trivial. We know how to do it.

Use hardware acceleration. Directly accesses hardware features of the graphical display adapter to improve the screen display. The support for hardware acceleration is not available for all operating systems and platform distributions of LibreOffice.

AMD engineers wrote OpenCL kernels, and contributed them to the open source code base. Turning on the OpenCL option to enable GPU Compute resulted in a 500X+ speedup,. Those measurements specifically come from the ground-water use sample from.

Don't generalize to use cases you don't know, especially when people with no real programming skills are concerned. I honestly don't know any other software that is both as flexible and accessible as spreadsheets when it comes to doing computations on heaps of (mostly irregular) data. Even for people WITH programming skill, a spreadsheet is often faster when you need stuff done.

When working with hardware, there are often pesky register settings that need to be configured just right - a spreadsheet. Ofortnij stanok svoimi rukami. OK, so what do you want to do? Say that a large part of the workforce should sit idle or go back to school just because they didn't learn the optimal language for this specific problem? Spreadsheets are typically used by non-programmers to perform calculations that are cumbersome or impractical to do manually.

Or should they just offload the job to a programmer? They can probably put together a spreadsheet in half the time it takes them to write a half-assed and partially incorrect specification for the progr. Really depends on use case. Our spreadsheets (finance, derivatives) can get damn big, but there are 3 reasons they persist: ease of modification, speed of the interface, and easy integration with powerful analytics libraries we use. Now I have functioned in a python based environment before, and that had some huge benefits (especially when working on tick level data, or data that was just a pain to manage in VBA until I got output down to a reasonably visualizable size), and I regularly push for trade level data and details to be put off into a SQL database as it is pretty easy to write flexible queries to get what I want out. But visualizing data, interacting with historic data (user forms for display), generally integrating with many other financial libraries (bloomberg and reuters for realtime, internal quant libraries for complex calculations), and having a fast interface out of the box is amazing.

I've been at places that have tried to replace excel as the interaction layer. The problem is, for all its problems, most coders cannot hack together, on their own, a better GUI that is as performant or easily interacted with. Sometimes it isn't the data analysis layer (which if at all possible, we like to farm off somewhere else for perofrmance), but everything else that makes the spreadsheet far superior.

And of course, I can modify and adapt someone else's work far faster than anyone using code. On a regular basis I can build up a complete tool in excel 10-20x faster than any coder can write me something outside of it.

And most of the time a 95% correct answer in 1 hour is far more useful than a 100% correct answer in 3 days. Now saying that, once the office ribbon started, that was the beginning of the end. Slowly the interface is getting too clunky to waste my time with when it was the simplest things I required. Now I try to do a lot of my work in a proper coding language and write out files I can parse quickly in vba and display in excel. It's really amazing what you can do in a spreadsheet. Several years ago I was involved with management of optical wavelength switching gear (DWDM) in conjunction with a large, national telcom.

They had some very well designed tools with very nice GUIs to allow things like building an optical path. Things that require managing complex database and doing a lot of checking on availability of resources and validity of the circuit. It was all written in Excel!

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