Timeline for Is there a floating point CSPRNG?
Current License: CC BY-SA 3.0
17 events
| when toggle format | what | by | license | comment | |
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| Jul 8, 2018 at 2:45 | comment | added | zaph | @ErikAronesty But of course GPUs are used to mine bitcoins: Bitcoin mining "tech savvy users and even groups have taken to buying high-end "gaming processor cards" – GPUs (otherwise known as graphics processing unit cards) – to build "mining rigs" to generate the highly valuable cryptocurrencies." | |
| Jul 8, 2018 at 0:37 | history | edited | e-sushi |
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| Oct 27, 2017 at 5:25 | history | protected | CommunityBot | ||
| Jun 14, 2017 at 7:59 | history | tweeted | twitter.com/StackCrypto/status/874899020182941696 | ||
| Jun 13, 2017 at 20:30 | comment | added | William Hird | Why not just use the Alternating Step Generator which has no public break since it was invented in 1987. It uses just 3 shift registers and some simple logic gates and is considered to be cryptographically secure as long as the shift registers are at least 128 cells long and seeded from a reliable entropy source. | |
| Apr 28, 2017 at 21:42 | answer | added | Paul Uszak | timeline score: -3 | |
| Apr 28, 2017 at 16:01 | answer | added | Erik Aronesty | timeline score: -3 | |
| Apr 28, 2017 at 14:01 | history | edited | Erik Aronesty | CC BY-SA 3.0 |
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| Apr 28, 2017 at 13:48 | history | edited | Erik Aronesty | CC BY-SA 3.0 |
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| Apr 28, 2017 at 13:44 | comment | added | Erik Aronesty | Nobody uses GPUs to mine bitcoins because the specific integer operations on GPUs are slower and less energy efficient than in custom hardware. FLOPs have been so heavily optimized on GPUs that whole supercomputing campus facilities have been built around them. The idea is to have a CSPRNG that GPUs are simply the best at and probably always will be. | |
| Apr 28, 2017 at 13:42 | history | edited | Erik Aronesty | CC BY-SA 3.0 |
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| Apr 28, 2017 at 13:32 | history | edited | Erik Aronesty | CC BY-SA 3.0 |
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| Apr 25, 2017 at 21:50 | answer | added | axapaxa | timeline score: 12 | |
| Apr 25, 2017 at 19:14 | comment | added | b degnan | There are two issues with this question: 1) You can beat almost anything with a FPGA as you can have pseudo-custom hardware. 2) integer math is so much faster, so you could have a "fixed point" system beat a floating-point system any day, for anything. | |
| Apr 25, 2017 at 18:49 | comment | added | Gilles 'SO- stop being evil' | Why does fast on GPU imply using floating point operations? I thought that GPU could also be fast at some integer operations, for example some people use them to mine bitcoins and that's centered on calculating SHA-256 hashes. You can use SHA-256 to build a CSPRNG. | |
| Apr 25, 2017 at 18:16 | review | First posts | |||
| Apr 26, 2017 at 0:48 | |||||
| Apr 25, 2017 at 18:12 | history | asked | Erik Aronesty | CC BY-SA 3.0 |