Comment by muragekibicho

Comment by muragekibicho 4 days ago

Introduction : Finite Field Assembly is a programming language that lets you emulate GPUs on CPUs

It's a CUDA alternative that uses finite field theory to convert GPU kernels to prime number fields.

Finite Field is the primary data structure : FF-asm is a CUDA alternative designed for computations over finite fields.

Recursive computing support : not cache-aware vectorization, not parallelization, but performing a calculation inside a calculation inside another calculation.

Extension of C89 - runs everywhere gcc is available. Context : I'm getting my math PhD and I built this language around my area of expertise, Number Theory and Finite Fields.

zeroq 3 hours ago

I've read this and I've seen the site, and I still have no idea what it is, what's the application and why should I be interested.

Additionally I've tried earlier chapters and they are behind a paywall.

You need a better introduction.

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[removed] 3 hours ago

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pizza 3 hours ago

This is phrased in a kind of demanding way to an author who has been kind enough to share their novel work with us. Are you sure you spent enough time trying to understand?

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- Conscat 2 hours ago
  
  It seems that pretty much everybody here is confused by this article. One user even accused it of LLM plagiarism, which is pretty telling in my opinion.
  I for one have no clue what anything I read in there is supposed to mean. Emulating a GPU's semantics on a CPU is a topic which I thought I had a decent grasp on, but everything from the stated goals at the top of this article to the example code makes no sense to me.
  
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  pizza 2 hours ago
  
  It just seems like residue numbering systems computation, which I'm already working with.
  
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almostgotcaught 2 hours ago

> I'm getting my math PhD and I built this language around my area of expertise, Number Theory and Finite Fields.

Your LinkedIn says you're an undergrad that took a gap year 10 months ago (before completing your senior year) to do sales for a real estate company.

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pizza 2 hours ago

Why bother doing a witch hunt and leaving out that they did Stats at Yale..

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- almostgotcaught 2 hours ago
  
  Because why does it matter? Are you suggesting undergrad stats at Yale is comparable to a PhD in number theory?
  
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  pizza 44 minutes ago
  
  I guess it's not clear to me why it's even interesting to talk about their LinkedIn or their PhD in the first place? It's not like not having a PhD will make the work any more true or not. Wouldn't it be more interesting to discuss the merits of the post? There's really little point in trying to say that their LinkedIn has different info than the comment therefore the submission is invalid.
  But, suppose I did actually hold that belief for some reason, then it would seem fairly intellectually dishonest to withhold relevant info in my pointed inquisition wherein I just characterize them as someone lacking mathematical experience at all, let alone from a world class university. But maybe that's just me!
  
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saghm 2 hours ago

Depending on what properties they sold, they certainly could have gotten valuable real-world expertise with finite fields. It's certainly easier to sell them than infinite ones!

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saagarjha 2 hours ago

Are you sure that’s their LinkedIn?

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- almostgotcaught 2 hours ago
  
  Why wouldn't it be? All of the pics, names and details line up between GitHub, here, Reddit, and substack.
  
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