Logs: freenode/#haskell
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| 2021-04-28 06:04:02 | <cheater> | shapr: if you can reduce the graph in parallel then you don't want low latency memory. you want high bandwidth memory. |
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| 2021-04-28 06:04:29 | <cheater> | shapr: just like a gpu, its extremely wide architecture optimizes for throughput |
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| 2021-04-28 06:04:46 | <cheater> | any latency at the start of the data burst is insignificant, since the transfer is so long-lived. |
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| 2021-04-28 06:06:03 | <Axman6> | surely that depends on the parallelism of the problem though. like a hash algorithm with intentionally not be very wide |
| 2021-04-28 06:06:12 | <Axman6> | will* |
| 2021-04-28 06:07:07 | <cheater> | if it's not wide, how can it be parallelizable? |
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| 2021-04-28 06:08:04 | <cheater> | wide here stems from the fact that you'll be performing the same computation on different data in a large amount of parallel instances. a million parallel threads or whatever. a thousand. |
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| 2021-04-28 06:08:28 | <cheater> | if you can't make it perform this many parallel threads, then you've hit the limit of that algorithm's parallelization |
| 2021-04-28 06:08:41 | <Axman6> | sure, but that only works if that's your problem. |
| 2021-04-28 06:08:48 | <Axman6> | yeah |
| 2021-04-28 06:09:04 | <cheater> | i've just described all parallelizable problems |
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| 2021-04-28 06:09:30 | <cheater> | if you need low latency then at some point you have a serial algorithm with dependence on causality |
| 2021-04-28 06:09:48 | <cheater> | which means you've hit the limit of parallelization |
| 2021-04-28 06:09:56 | Axman6 | shakes fist angrily at time |
| 2021-04-28 06:10:18 | <cheater> | it's not time |
| 2021-04-28 06:10:20 | <cheater> | it's just time's arrow |
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| 2021-04-28 06:32:10 | <[exa]> | cheater: you probably need to add some energy limits, this way you could parallelize all NP problems sufficiently to be solved in P |
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| 2021-04-28 07:22:30 | <olle> | Does Haskell deal with division by 0? |
| 2021-04-28 07:22:35 | <olle> | Throwing error or exception? |
| 2021-04-28 07:22:54 | <olle> | Wait, it's on google... ^^ |
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| 2021-04-28 07:24:13 | <hc> | > 1 / 0 |
| 2021-04-28 07:24:15 | <lambdabot> | Infinity |
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| 2021-04-28 07:24:40 | <hc> | > :t 1 / 0 |
| 2021-04-28 07:24:42 | <lambdabot> | <hint>:1:1: error: <hint>:1:1: error: parse error on input ‘:’ |
| 2021-04-28 07:24:51 | <hc> | :t 1 / 0 |
| 2021-04-28 07:24:52 | <lambdabot> | Fractional a => a |
| 2021-04-28 07:25:01 | <olle> | Infinity, eh? Hm. |
| 2021-04-28 07:25:24 | <olle> | Does that mean Haskell can express totality? That is, guaranteed to return on every value? |
| 2021-04-28 07:28:08 | <opqdonut> | no |
| 2021-04-28 07:28:33 | <opqdonut> | you can always use `undefined` to blow up any computation |
| 2021-04-28 07:28:39 | <opqdonut> | or `fix id` for an infinite loop |
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