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froonly commented on Thom Yorke says AI steals from artists and devalues humanity   musicradar.com/artists/it... · Posted by u/6stringmerc
froonly · 3 months ago
It's not just the AIs that steal... Thom Yorke is well known for his sticky fingers...

https://www.reddit.com/r/radiohead/comments/19266y3/does_any...

froonly commented on NPB-Rust: NAS Parallel Benchmarks in Rust   arxiv.org/abs/2502.15536... · Posted by u/aw1621107
froonly · 5 months ago
HPC folks who care about performance don't use gfortran.

It's borderline dishonest to compare rust performance unless the target compiler is something like Intel's Fortran compiler from the OneAPI suite, or the newer flang compiler.

froonly commented on Daily ArXiv: A Curated Daily Digest of ArXiv Preprints about AI   haebom.dev/daily_arxiv... · Posted by u/haebom
froonly · 7 months ago
it would be nice to be able to open papers in a new tab or window on Firefox instead of this thing hijacking the standard user interface.
froonly commented on Wave Network: An Ultra-Small Language Model   arxiv.org/abs/2411.02674... · Posted by u/PaulHoule
froonly · 10 months ago
is there a github for this?
froonly commented on Trump Asks Elon Musk/Vivek Ramaswamy to Lead Department of Government Efficiency   wired.com/story/donald-tr... · Posted by u/m463
froonly · 10 months ago
If what Elmo did at twitter is anything to go by, this is just a fricking disaster of gargantuan proportions waiting to happen.
froonly commented on Global Guitar Greats   songlines.co.uk/features/... · Posted by u/paulpauper
froonly · 10 months ago
Allan Holdsworth isn't on this list. Which means whoever wrote it knows less about guitar than they think they do.
froonly commented on History of Parametric Technology Corporation   shapr3d.com/history-of-ca... · Posted by u/nakedneuron
froonly · a year ago
Doesn't mention Geisberg forcing Mike Payne to leave PTC and Mike joining Solidworks to head their development.
froonly commented on The Rise and Fall of Silicon Graphics   abortretry.fail/p/the-ris... · Posted by u/BirAdam
hintymad · a year ago
I remember Clayton Christensen mentioned that Andy Grove invited him to Intel to talk about how to deal with the dilemma, and interrupted Christensen while he was talking and said something like "I know the problem, and I need you to tell me the solution". Similarly, Peter Drucker repeatedly mentioned one of the biggest challenges in business is "killing the cash cow". Along that line, Netflix's Reed Hasting is really amazing. He somehow managed to kill the DVD business and used it to milk the streaming business, when almost everyone in the industry and some of his lieutenants in Netflix didn't believe him.
froonly · a year ago
For a while you could view Netflix online and rent DVDs from them.
froonly commented on CUDA Is Still a Giant Moat for Nvidia   weightythoughts.com/p/cud... · Posted by u/j-wang
teleforce · a year ago
I almost spew my coffee when reading your grand parent comments.

One of the first teams that ported LAPACK to CUDA or CULA are apparently being paid handsomely by Nividia [1],[2].

Interestingly, DCompute is a little known effort to support compute on CUDA and OpenCL in D language, and it was done by a part-time undergrad student [3].

I strongly believe we need a very capable language to make advancement much easier in HPC/AI/etc, and D language fit the bill very much and then some. Heck it even beat other BLAS libraries that other so called data languages namely Matlab and Julia still heavily depended on for their performances to this very day. It does it in style back in 2016 more than seven years ago [4]. The DCompute implementation by the part-timer in 2017 actually depended on this native D implementation of these linear algebra routines in Mir [5].

[1] CULA: hybrid GPU accelerated linear algebra routines:

https://www.spiedigitallibrary.org/conference-proceedings-of...

[2] CUDA Spotlight: John Humphrey:

https://www.nvidia.com/content/cuda/spotlights/john-humphrey...

[3] DCompute: GPGPU with Native D for OpenCL and CUDA:

https://dlang.org/blog/2017/07/17/dcompute-gpgpu-with-native...

[4] Numeric age for D: Mir GLAS is faster than OpenBLAS and Eigen:

http://blog.mir.dlang.io/glas/benchmark/openblas/2016/09/23/...

[5] DCompute: Native execution of D on GPUs and other Accelerators:

https://github.com/libmir/dcompute

froonly · a year ago
I got paid to do the LAPACK port, back in the mid 2000s, for a federal contractor working on satellite imaging type apps. I was still a good coder, back then... Took me about a month, as I recall. Maybe 6 weeks.

But I'm one of those old-school HPC guys who believes that libraries are mostly irrelevant, and absolutely no substitute for compilers and targeted code generation.

Julia is cool, btw. It could very well end up supplanting Fortran, once they fix the poor performance code generation issues.

u/froonly

KarmaCake day25May 12, 2021View Original