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oe1cxw's profile
Claire Xen 🏳️‍⚧️🏳️‍🌈🧙🏻‍♀️ BLM 🏴🚩
Claire Xen 🏳️‍⚧️🏳️‍🌈🧙🏻‍♀️ BLM 🏴🚩
Claire Xen  🏳️‍⚧️ 🏳️‍🌈 🧙🏻‍♀️ BLM  🏴 🚩
@oe1cxw

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Claire Xen  🏳️‍⚧️ 🏳️‍🌈 🧙🏻‍♀️ BLM  🏴 🚩

@oe1cxw

Neurodiverse trans geek girl. Yosys, RISC-V, SAT/SMT.

She/her/hers
clairexen.net
Joined September 2014

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    1. Andreas Olofsson‏ @zeroasic 15 Dec 2015
      • Report Tweet
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      Andreas Olofsson Retweeted Jack Clark

      Imagine if folks used custom chips instead of standard gaming chips for deep learning. ~100X boost possible...https://twitter.com/mappingbabel/status/676853665500495872 …

      Andreas Olofsson added,

      Jack Clark @jackclarkSF
      Basically - pray for the continuation of Moore's Law-like scaling from GPUs, other platforms. https://twitter.com/shivon/status/676843371965636608 …
      1 reply 3 retweets 6 likes
    2. Claire Xen  🏳️‍⚧️ 🏳️‍🌈 🧙🏻‍♀️ BLM  🏴 🚩‏ @oe1cxw 16 Dec 2015
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      Replying to @zeroasic

      @adapteva how did you get to this figure? deep learning applications generally seem to be bound by global memory (off-chip SDRAM) bandwidth.

      2 replies 0 retweets 0 likes
    3. Prof. Nachiket Kapre (he/him/il/lui)‏ @nachiketkapre 16 Dec 2015
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      Replying to @oe1cxw

      @oe1cxw @adapteva Could be used for cases where data size is small enough to fit in on-chip memory? Possible for a set of use cases.

      2 replies 0 retweets 0 likes
    4. Claire Xen  🏳️‍⚧️ 🏳️‍🌈 🧙🏻‍♀️ BLM  🏴 🚩‏ @oe1cxw 16 Dec 2015
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      Replying to @nachiketkapre

      @nachiketkapre @adapteva NV Maxwell has up to 336 GB/s global mem BW. Pascal is expected to have 1 TB/s. Hard to beat with a custom chip..

      1 reply 0 retweets 0 likes
    5. Andreas Olofsson‏ @zeroasic 16 Dec 2015
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      Replying to @oe1cxw

      @oe1cxw @nachiketkapre Wrong premise, global memory is the past. Easy to get 100's of TB/s with truly distributed arch. #brain

      4 replies 0 retweets 0 likes
      Claire Xen  🏳️‍⚧️ 🏳️‍🌈 🧙🏻‍♀️ BLM  🏴 🚩‏ @oe1cxw 16 Dec 2015
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      Replying to @zeroasic

      @adapteva @nachiketkapre And _then_ we could have a discussion about GPU vs. ASIC for that algorithm and topology. 3/

      9:27 AM - 16 Dec 2015
      1 reply 0 retweets 0 likes
        1. Prof. Nachiket Kapre (he/him/il/lui)‏ @nachiketkapre 16 Dec 2015
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          Replying to @oe1cxw

          @oe1cxw @adapteva Possible to carefully schedule memory ops to overlap with compute... If interm. data too large, must manage with care..

          0 replies 0 retweets 0 likes
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