exsf0859

6 ms·

1. 31.▲
   by exsf0859 6y ago

   That's simply not true. SV was built in the 60's thru the 80's long before the H1-B visa program started in 1990.
2. 32.▲
   by exsf0859 7y ago

   The problem is that with most GC algorithms 1% of the frames take 2x (or even 20x) as long, not that individual frame times vary by 1%.
3. 33.▲
   by exsf0859 7y ago

   Switch and PS 4 are easier to support than Linux or MacOS because there's only a few hardware variations for Switch and PS 4.
4. 34.▲
   by exsf0859 7y ago

   This was canceled at the point where Apple needed to commit to spending a lot of money to implement the design in silicon. I heard it was canceled because upcoming COTS processors looked like they are going to be faster and cheaper. (Source
5. 35.▲
   by exsf0859 7y ago

   Ouch, you're right! I misunderstood.
6. 36.▲
   by exsf0859 7y ago

   I read this article as saying, "hey we can emulate bfloat16 pretty well in software on top of our existing hardware features". That's what "graft" and "minimal impact" mean to me. Intel (for better or wors
7. 37.▲
   by exsf0859 7y ago

   It's called brain floating point because it was developed by Google's "Google Brain" machine learning project.
8. 38.▲
   by exsf0859 7y ago

   bfloat16 is "best" primarily because it has the same exponent range as float32. That makes it easy to port models that have been developed using float32 to bfloat16. (As opposed to using int8 or float16, both of which have a small
9. 39.▲
   by exsf0859 7y ago

   If I recall correctly, the 2001 ICFP contest was won by someone who happened to have done their thesis on the contest problem. :-)
10. 40.▲
    by exsf0859 8y ago

    If you like Gassee's writing about Be, there's plenty more available in his articles for the Be Newsletter: https://www.haiku-os.org/legacy-docs/benewsletter/index.html
11. 41.▲
    by exsf0859 9y ago

    I think the main reason for the QR code is to discourage third-party juice packs.
12. 42.▲
    by exsf0859 10y ago

    Two Minute Papers https://www.youtube.com/user/keeroyz - enthusiastic summaries of machine learning papers. Pachter Factor on SIFTD Games channel https://www.youtube.com/channel/UCFaBUWXO8o4jSfF6P