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Assorted Rants Tagged ‘Overload’, page 1:

‘Speedy Gonzales’ Serializing (Re)Actors via Allocators

posted May 1, 2018 by "No Bugs" Hare

Quote:	“Allocator-based serialization for (Re)Actors is extremely fast (for x64 – around tens of ms per 100MB of state)”
Another Quote:	“Per-(Re)Actor allocators can be implemented without any changes within (Re)Actor itself (i.e. all the necessary changes can be confined to Infrastructure Code).”
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posted March 14, 2018 by "No Bugs" Hare

Quote:	“we DID get a perfectly usable C++ dialect which is also 100% safe against memory corruption and against memory leaks.”
Another Quote:	“we can (and often SHOULD) have different approaches to safety of the Reactor::react() and the rest of the code.”
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posted August 15, 2017 by "No Bugs" Hare

Quote:	“‘Safe with relocation’ mode will allow us to eliminate dreaded ‘external fragmentation’ – which tends to cause quite a bit of trouble for long-running systems”
Another Quote:	“For a long while, I have been a strong proponent of message-passing mechanisms over mutex-based thread sync for concurrency purposes”
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posted August 8, 2017 by "No Bugs" Hare

Quote:	“trying to optimize out a 3e-7 performance hit is very rarely worth the trouble.”
Another Quote:	“With 4S/4U boxes having typical MTBFs of 3–5 years, the next question we should ask ourselves, is “Hey, will we really be able to write software which crashes much more rarely than that?””
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posted August 1, 2017 by "No Bugs" Hare

Quote:	“asm.js has invented its own instruction set, which can be still seen as an instruction set of a CPU, at least from the point of view of a C++ compiler.”
Another Quote:	“As asm.js is a strict subset of JavaScript – it will run even if there is no special support for asm.js in browser.”
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posted May 16, 2017 by "No Bugs" Hare

Quote:	“in both these cases we can be 100% sure that we’ll be deserializing this state on the executable which is identical to the executable which serialized the state.”
Another Quote:	“Even when comparing with home-grown code with per-field serialization, our Ultra-Fast Serialization still wins (up to 1.5x-2x) “
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posted February 21, 2017 by "No Bugs" Hare

Quote:	“Strictly speaking, for real-world computers, every algorithm which completes in a finite time can be said to be O(1)
Another Quote:	“now the difference because of unfortunate ‘jumps’ over (uncached at the time) memory can lead to a 100x+ (!) performance difference. However, it is still O(1) and is rarely taken into account during performance analysis”
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