Talos: Hardware accelerator for deep convolutional neural networks

· · 来源:tutorial资讯

但在这场狂欢背后,一个问题几乎没人认真讨论:

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The commit protocol in the paper actually starts simple: clients send log records straight to Pending Update (PU) queues. But the problem with this naive direct-write approach is that if the client crashes mid-commit, only some records might make it to the queue, and this breaks atomicity. To fix this issue, the paper proposes an Atomicity protocol: clients first dump all logs plus a final “commit” token into a private ATOMIC queue, then push everything to the public PU queues. This guarantees all-or-nothing transactions, but it’s pricey, since every extra SQS message adds up. At $2.90 per 1,000 transactions, it’s almost twenty times the $0.15 of the naive direct-write approach. So here, consistency comes at a literal monetary cost!

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