I suspect this is just AI slop.
Finite Field Assembly: A Language for Emulating GPUs on CPU
11–20 of 35 posts
Re: Finite Field Assembly: A Language for Emulating GPUs on CPU
#12I think I get it. You're using the Ring isomorphism from the Chinese Remainder Theorem to do "parallel computation". This is the same principle as how boolean algebra on binary strings computes the pairwise results of each bit in parallel. Unfortunately, there's no free lunch - if you want to perform K operations on N-bit integers in parallel, you still need to work with (K * N)-bit-wide vectors, which is essentially what SIMD does anyway.
Re: Finite Field Assembly: A Language for Emulating GPUs on CPU
#13It's hilarious how gullible hn is. All you gotta do is put GPU and math buzzwords in your README and you'll automatically be upvoted.
This was discussed on Reddit - this is not actually finite field arithmetic.
Also you can go to this dudes GitHub and see exactly how serious this project is.
https://github.com/LeetArxiv/Finite-Field-Assembly
Lol
Re: Finite Field Assembly: A Language for Emulating GPUs on CPU
#14Pretty sure this is just vectorization. You can pack some 8bit ints into a machine-length 32bit int and add them together, that is vectorization.
I don't think that's true when the add overflows. You wouldn't want a lane's overflow to carry into an adjacent lane.
Re: Finite Field Assembly: A Language for Emulating GPUs on CPU
#15I think I get it. You're using the Ring isomorphism from the Chinese Remainder Theorem to do "parallel computation". This is the same principle as how boolean algebra on binary strings computes the pairwise results of each bit in parallel. Unfortunately, there's no free lunch - if you want to perform K operations on N-bit integers in parallel, you still need to work with (K * N)-bit-wide vectors, which is essentially…
Yup that's exactly what this is and thus, notably, it is not actually about finite fields.
Re: Finite Field Assembly: A Language for Emulating GPUs on CPU
#16Introduction : 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 ca…
> 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.
Re: Finite Field Assembly: A Language for Emulating GPUs on CPU
#17Earlier quoted context omitted.
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.
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?
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.
Re: Finite Field Assembly: A Language for Emulating GPUs on CPU
#18Introduction : 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 ca…
> 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.
Are you sure that’s their LinkedIn?
Re: Finite Field Assembly: A Language for Emulating GPUs on CPU
#19One of the more subtle aspects of retargeting GPU code to run on the CPU is the presence of fine grained(read - block level and warp level) explicit synchronization mechanisms being available in the GPU. However, this is not the same in CPU land, so additional care has to be taken to handle this. One example of work which tries this is https://arxiv.org/pdf/2207.00257 .
Interestingly, in the same work, contrary to what you’d expect, transpiling GPU code to run on CPU gives ~76% speedups in HPC workloads compared to a hand optimized multi-core CPU implementation on Fugaku(a CPU only supercomputer), after accounting for these differences in synchronization.
Re: Finite Field Assembly: A Language for Emulating GPUs on CPU
#20Earlier quoted context omitted.
> 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.
Are you sure that’s their LinkedIn?
Why wouldn't it be? All of the pics, names and details line up between GitHub, here, Reddit, and substack.