state of a typical C compiler, 1998
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state of a typical C compiler, 1998
this was a classic @regehr tweet that i had to repost to preserve for future generations
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state of a typical C compiler, 1998
@joe
1 >> INT_MAXis fucking sending us -
@joe
1 >> INT_MAXis fucking sending us@joe we can see exactly how it happens
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this was a classic @regehr tweet that i had to repost to preserve for future generations
@joe I boosted it Joe!!!!!!!
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state of a typical C compiler, 1998
@joe Why would anyone think it's a good idea to const-eval shifts, one bit at a time‽
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state of a typical C compiler, 1998
@joe btw-- this is the same person who, more than 30 years earlier, coined the term "peephole optimization" 👀
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state of a typical C compiler, 1998
@joe "The famous Pentium divide bug (we did not catch it but we could have)": well aren't they sophisticated.
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@joe btw-- this is the same person who, more than 30 years earlier, coined the term "peephole optimization" 👀
@joe I exchanged a few emails with him many years back. but I think, clearly, most of us here should have bought him a couple beers
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state of a typical C compiler, 1998
@joe I love that the experience of reading that table is like "sure, I can see how that would happen" and then you get to the TWENTY MINUTE COMPILE TIME. The "server crash" one is fun too.
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@joe btw-- this is the same person who, more than 30 years earlier, coined the term "peephole optimization" 👀
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state of a typical C compiler, 1998
@joe the heck is -!0
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@joe the heck is -!0
@joe if you put that in your code, you deserve a compiler error
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@joe we can see exactly how it happens
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@joe the heck is -!0
@ratsnakegames not much, what’s -! With you
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state of a typical C compiler, 1998
@joe "Twenty-minute compile time" is so perfect and understated
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@joe "Twenty-minute compile time" is so perfect and understated
@joe of course with modern OOO processors this would be like 0.2 seconds and would go unnoticed
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@joe of course with modern OOO processors this would be like 0.2 seconds and would go unnoticed
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@joe of course with modern OOO processors this would be like 0.2 seconds and would go unnoticed
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@cr1901 singularity (1 million parentheses)
Gli ultimi otto messaggi ricevuti dalla Federazione
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@pierostrada essendo un Mac, per 700 euro già è tanto se si accende.
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@anfangel.bsky.social
Uì, ciao
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Bruce LaBruce (@brucelabruce.bsky.social)
https://bsky.app/profile/brucelabruce.bsky.social/post/3mgv5p4uqy227
> HBD to the wonderful Barbara Feldon, who so stylishly and elegantly played Agent 99 on the 60's TV series "Get Smart," BOTD in 1933, turning 93 today! Here's hoping that she lives to be at least 99!!
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Algorithms, by Jeff Erickson
#coding #programming #foss #books
https://jeffe.cs.illinois.edu/teaching/algorithms/
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@Alberto però mi ricordo che qualcuno li provò, forse Pippo, e stette male...
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@mariosiniscalchi temo di essermi espresso male. Intendevo dire "essere rappresentati NEL CSM", perché, appunto è il loro organo di autogoverno e penso abbiano diritto a farne parte scegliendo chi ci deve stare e non affidandosi al caso.
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Mapping The Sound Field Of An Acoustic Levitator
Sound! It’s a thing you hear, moreso than something you see with your eyes. And yet, it is possible to visualize sound with various techniques. [PlasmatronX] demonstrates this well, using a special scanning technique to visually capture the sound field inside an acoustic levitation device.
If you’re unfamiliar, acoustic levitation devices like this use ultrasound to create standing waves that can hold small, lightweight particles in mid-air. The various nodes of the standing wave are where particles will end up hovering. [PlasmatronX] was trying to calibrate such a device, but it proved difficult without being able to see what was going on with the sound field. Hence, the desire to image it!
Imaging the sound field was achieved with a Schlieren optical setup, which can capture variations in air density as changes in brightness in an image. Normally, Schlieren imaging only works in a two-dimensional slice. However, [PlasmatronX] was able to lean on computed tomography techniques to create a volumetric representation of the sound field in 3D. He refers to this as “computerized acoustical tomography.” Images were captured of the acoustic levitation rig from different angles using the Schlieren optics rig, and then the images were processed in Python to recreate a 3D image of the sound field.
We’ve seen some other entertaining applications of computed tomography techniques before, like inspecting packets of Pokemon cards. Video after the break.
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My youngest dog always walks around the house and back yard like he's ancient. Like, wobbling along like he's in pain, kinda limping. But, when we're on a walk or he's off-lead in the forest, he's like a rocket, absolutely full-tilt 100% of the time, not a care in the world, no think just run. No trace of a limp, seemingly no problems.
I think he's just really lazy when he's somewhere boring? Like a sullen teenager ambling through the halls at school.
