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RichFelker's profile
Rich Felker
Rich Felker
Rich Felker
@RichFelker

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Rich Felker

@RichFelker

Yeah, I do @musllibc, FOSS & infosec stuff. But now is not the time for a mostly-/only-tech Twitter feed.

musl-libc.org
Joined March 2014

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    1. Robᵉʳᵗ Graham X🅂 Max‏ @ErrataRob Apr 2
      Replying to @RichFelker @travisgoodspeed

      That's what everyone thinks. Not people who know CPUs, of course, but everyone else.

      1 reply 0 retweets 0 likes
    2. Rich Felker‏ @RichFelker Apr 2
      Replying to @ErrataRob @travisgoodspeed

      Rich Felker Retweeted Matthew Prince

      Apparently it's what @Cloudflare thinks.https://twitter.com/eastdakota/status/976560820611031040?s=20 …

      Rich Felker added,

      Matthew PrinceVerified account @eastdakota
      Why we’re switching to ARM-based servers in one image. Both servers running the same workload at the same performance. pic.twitter.com/wMFKS0Avkt
      2 replies 0 retweets 1 like
    3. Robᵉʳᵗ Graham X🅂 Max‏ @ErrataRob Apr 2
      Replying to @RichFelker @travisgoodspeed @Cloudflare

      That's because it's a network processor that includes fixed-function accelerators for crypto and compression that would otherwise be done in software on Intel CPUs.

      3 replies 0 retweets 0 likes
    4. Rich Felker‏ @RichFelker Apr 2
      Replying to @ErrataRob @travisgoodspeed @Cloudflare

      I've seen similar results on big compile jobs, no acceleration. Need to test myself sometime.

      1 reply 0 retweets 0 likes
    5. Rich Felker‏ @RichFelker Apr 2
      Replying to @RichFelker @ErrataRob and

      My semi-educated guess is that you can do way better than 1/2 power consumption (maybe as low as 10%) just by using a larger array of simpler cores rather than higher-end out-of-order ARMs.

      2 replies 0 retweets 0 likes
    6. Robᵉʳᵗ Graham X🅂 Max‏ @ErrataRob Apr 2
      Replying to @RichFelker @travisgoodspeed @Cloudflare

      Yes, for some applications (like the network processing CloudFlare does). But for most tasks, the coordination among cores quickly overcomes the benefits of many cores. That's why Sun failed with their SPARC T-1 strategy.

      2 replies 0 retweets 0 likes
    7. Rich Felker‏ @RichFelker Apr 2
      Replying to @ErrataRob @travisgoodspeed @Cloudflare

      Personally my only use for cpu perf is big compile jobs, which are (modulo awful recursive-configure scripts) 100% //izable and don't share data. But yeah it varies with what you're doing.

      1 reply 0 retweets 0 likes
    8. John Regehr‏ @johnregehr Apr 2
      Replying to @RichFelker @ErrataRob and

      I'm in a similar boat (also want SMT solvers, but their execution characteristics seem roughly similar to compilers, but more memory-bound).

      1 reply 0 retweets 1 like
    9. John Regehr‏ @johnregehr Apr 2
      Replying to @johnregehr @RichFelker and

      seems like the keys are memory bandwidth and huge last-level cache. so far an ARM farm doesn't do anything for me, but I haven't got hold of a Thunder X2 box yet.

      1 reply 0 retweets 0 likes
    10. Robᵉʳᵗ Graham X🅂 Max‏ @ErrataRob Apr 2
      Replying to @johnregehr @RichFelker and

      My suspicion is that for memory-bandwidth constrained tasks that CPUs designed to go to sleep faster (and not consume power) will be more power efficient.

      2 replies 0 retweets 0 likes
      Rich Felker‏ @RichFelker Apr 2
      Replying to @ErrataRob @johnregehr and

      Maybe with some sort of fancy hardware-driven round-robin sleep for all cores contending for memory?

      2:51 PM - 2 Apr 2018
      1 reply 0 retweets 0 likes
        1. New conversation
        2. Robᵉʳᵗ Graham X🅂 Max‏ @ErrataRob Apr 2
          Replying to @RichFelker @johnregehr and

          One of the classic "many-smaller-cores" problems as been threading. Cavium has 8 SMT threads per core, so that when one thread waits on memory, other threads can continue processing. Centriq has no threading, so cores stop completely.

          1 reply 0 retweets 0 likes
        3. Robᵉʳᵗ Graham X🅂 Max‏ @ErrataRob Apr 2
          Replying to @ErrataRob @RichFelker and

          While Cavium's approach is superior in theory, many have long doubted it and suspected the approach Centriq is now using might be better.

          1 reply 0 retweets 0 likes
        4. Robᵉʳᵗ Graham X🅂 Max‏ @ErrataRob Apr 2
          Replying to @ErrataRob @RichFelker and

          Partly it's because many-slower cores fail when they are too slow, and partly because when memory bandwidth is constrained, you want the cores to sleep rather than trying other work.

          0 replies 0 retweets 1 like
        5. End of conversation

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