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@Coyote

I missed the link in your original post, after reading it and then doing some research, I stand corrected. It does appear to work and be real. However it appears that there is fairly low supply (so cant treat very many people), and its a bit experimental/risky so only used for very severe patients.. but it is more or less as reported as far as I can tell.

@dickmasterson

@js290

Its not even about cost.. lockdowns make things worse outside of local short-term lockdowns

@mur2501

@Coyote

You just going to quote me and just ignore the sentance right after the quote:

"By that I mean a filter which is a mechanical sieving device"

I was specifically addressing particle size filters. I go on to explain the other case you just describe in the rest of the response.

@dickmasterson

@Coyote

Its more than 100 years, closer to 200 that we have day to day level of detail on temp. Which is long enough for granger causality to show temp follows CO2 far more strongly than CO2 follows temp.

That said there **is** some degree of CO2 rising following a temperature rise, but until that reaches a cascade point is minimal. So what we see is CO2 rises, temperature rises significantly, this triggers a slight increase in CO2 and the temperature rises slightly more before stabilizing. The second reaction is non linear though so there is a tipping point where if we raise the global temperature enough via CO2 then there will be a runaway reaction (or so the theory goes) where CO2 will be released in ever increasing amounts and we fry. But that runaway part is harder to prove and more questionable.

@Genen

Finally get through OpenCL's Hello World in Kotlin. Computing 3 million times sin and cos using GPU, total time is 456ms, 105ms is used to compute and read result back to CPU. On the other hand, CPU takes whole 891ms to compute cos and sin. Which I guess it's more convinced for me to just say "GPU is good for parallel computing". The result is more vivid than sentences.

After doing this, I though LWJGL's document on OpenCL is really bad. What all I referenced are Java test codes and C++ codes. And I rely on my experience a lot to debug it. It looks like JOCL's binding is more object oriented and more user friendly. But LWJGL is offering a integrated package of OpenGL, GLFW and OpenCL binding, which I guess I have to stick with it for now.

Besides auto converting Java bytecode to OpenCL kernel, Aparapi seems much easier to get start with. Without dealing a lot of data copying and buffer creating things, life is much simpler.

I might write a blog(in Chinese of course, since I'm a Chinese, maybe I'll commit this program to LWJGL as a OpenCL HelloWorld) to describe where you should take a good care with LWJGL's OpenCL binding, where I actually crash the JVM by doing it wrong. (BTW, using println to locate the crash point is way faster than step through XD)

@melovida
Incorrect. Lower classes do not hoard money therefore inflation does not harm them directly. If you believe minimum wage is helpful (different conversation) thrm you coukd argue not adjusting minimum wage hurts them, but thats not inflations fault.

The only person inflation hurts is someone who holds onto large amounts of cash for long periods of time.

@skyblond
Not a bad idea. Two points though.

1) you can use raw opencl bindings within aparapi. Basically you just use an annotation on the class that points to the file with the c-like code in it
2) aparapi normally generates the raw opencl code in c for you from the java code. So you can see what the code looks like in raw opencl

I'm not sure who needs to know this... but... Inflation is a **good** thing when it occurs at a reasonably slow pace over time. It is only a bad thing when it occurs quickly (hyperinflation) or when factors cause a feedback loop where the inflation continually accelerates quickly reaching hyperinflation.

Inflation means as long as you arent hoarding cash (which no one should do) your investments are growing faster

@skyblond Feel free to ask questions if you need it. Keep in mind it wont completely isolate you from understanding GPU coding as you need to still code your JAVA in a way that is aware of the GPU and at a fairly low level (for java that is, as in you cant just call arbitrary libraries from your code, mostly primitive operations). But it does let you use JAVA syntax which can be way more pleasant for most people. Its main advantage though is its platform agnostic, so your code that runs on some GPU will run on any platform. If there isnt a GPU present it will run the code as plain java, so thats a nice benefit.

@Pat

Was that suppose to be an attempt at explaining it in simpler terms? :ablobgrin:

@trinsec

Learned a lot about general computing on GPU via a youtube video.

Besides OpenGL compute shader, I'd prefer using OpenCL to update tons of units concurrently. I'll give it a try, but it seems like LWJGL's OpenCL binding is not well documented and only a few examples are given. Maybe I'll go further deeper in it.

youtube.com/watch?v=BjdYRtL6qj

@skyblond I am the lead dev/project owner of aparapi.com a library for writing java code that runs on the GPU through OpenCL... if your interested check it out.

@melovida

Depends on how its imaged... Usually deep space images arent colored, the beautiful colors you see in nebula's for example are natural

If you see a colored image then its something like radio-waves, x-rays, or a non-visible light spectrum that would otherwise be invisible. Usually even then the image is just shifted and stretched into the visible spectrum without touching up the color. If there are two separate non-visible sources used in the same image they may intentional stretch the spectrum of each into different color bands so you can distinguish which is which.

You can of course have touched up images, but it should be obviously labeled as such and scientists tend to see this as a big no no in the "official" images at least.

@deesapoetra @Science

@Coyote

No dialysis filter will be able to remove a virus without also removing everything else from the blood.. By that I mean a filter which is a mechanical sieving device (the usual meaning of a filter).

Now it is possible to run blood through some device that may selectively kill the virus, but this seems unplasable. Such a device would have to have receptors that mimic cell receptors that the COVID vidus bind to but somehow be selective to only COVID. Basically mimicking white blood cells. Which is a bit implausible in its own right.

But the real catch is, even if he had this magical device somehow that left the blood untouched and 100% removed any virus from it, this wouldnt remotely help with covid (though it would be a huge breakthrough for a few other viruses potentially)...

The reason being is that covid doesn't spread through the blood. It is present there as some of the virus unintentionally gets into the blood, but its not the route of spreading. COVID is a respiratory virus and like all respiratory viruses it spreads in a way that is local targeting specifically the lungs. So it tends to spread either through its neighboring cells directly or by shedding into the mucous of the lungs and being transported to other areas of the lungs through coughing.

@dickmasterson

@mur2501 worse yet the way lockdowns have been done they make things worse not better. Lockdowns in isolated controled minimal ways can be useful, but when its overdone it tends to speed up the spread once the lockdown is relaxed and you get more infection overall rather than less.

@Genen

That argument is nonsense when you realize the level of CO2 increase in the last 100 years is unlike anything ever seen in the history of the earth and yet the temperature change still followed it exactly as predicted.

The temperature leading CO2 effect doesnt occur, its just a psudoargument made by manipulating the noise in temperature in dishonest ways (not using the sort of statistical analysis you would need to truely show this caused granger causality, which it fails to demonstrate when that is applied).

@Coyote

@tfardet Indeed it appears to be a highly accurate rendering using real world data, but not an image. Still cool, and at least it has scientific meaning.

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