A bit of a random question, but I figured you’d be the right person to ask… Do you know any good resources for learning Metal from an image processing perspective (à la CIImage) rather than a 3D compositing perspective?
It’d be pretty wild if Apple announced Metal raytracing APIs (à la DXR) in a couple of days, huh?
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I have a new article series on MPS image filters coming out soon; would that be useful? Do you need info on custom kernels?
@gpu3d and@carolinebegbie’s forthcoming book might have some insight? -
Looking forward to it! Custom kernels, tiling large data, efficient use of IOSurface, understanding Metal’s own render pipeline, etc… I don’t have much experience with other GPU frameworks to draw analogies from unfortunately, so many resources feel pretty daunting :/
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That’s a tall order! I’m into it—can we talk soon about your use cases? I’m interested to explore intuitive ways to teach this stuff!
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It’s probably the reason it’s taken me so long to dive deeper into this kind of stuff :P Are you going to be in San Jose for WWDC next week? I’d love to talk more :)
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I am not! I’m currently living in Thailand, but would love to set up a Hangout or similar
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Definitely! I’ll get back in contact after next week’s craziness is settled! Thank you for the suggestions so far :)
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hello,
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Just trying to read the tea leaves for fun and profit.
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I still dream if getting us to ray tracing one day. Maybe that day is coming closer.
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Y’all could really benefit from a hybrid solution yesterday
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We need a solution yesterday? Yes, a thousand times yes. But you mean “hybrid” between what and what?
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Rasterization with a B(SS)RDF for opaques, raytracing for translucents/optics.
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With hardware to power it please! (It’s just about viable for some cases with current hardware, with some acceleration it could be very interesting!
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Right? Can’t be the Caustic IP, but there are plenty of ways to skirt that for fun and profit…
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That would be a swift and objective announcement!
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I guess we’ll C if it’s in the AppleScript
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with a heavy Metal soundtrack
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Well, it's not long until we see what they've actually been Cooking.
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it still feels longer than 16.7ms until then… an eternity!
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