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author | Lonero Foundation <loneroassociation@gmail.com> | 2021-03-17 01:59:31 -0400 |
---|---|---|
committer | bitcoindev <bitcoindev@gnusha.org> | 2021-03-17 05:59:46 +0000 |
commit | 3f3d0e051bf23e79fb95eaa5cd9d27b8eecdf8aa (patch) | |
tree | 8720412fd9521d1fb39709cd68f863179017727d | |
parent | 69191c1e0907ec4773266f4e30dc39656b47aaec (diff) | |
download | pi-bitcoindev-3f3d0e051bf23e79fb95eaa5cd9d27b8eecdf8aa.tar.gz pi-bitcoindev-3f3d0e051bf23e79fb95eaa5cd9d27b8eecdf8aa.zip |
Re: [bitcoin-dev] BIP Proposal: Consensus (hard fork) PoST Datastore for Energy Efficient Mining
-rw-r--r-- | 27/903149fd0c84c981e2b4e7cc3af0a68da3223d | 1419 |
1 files changed, 1419 insertions, 0 deletions
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boundary="00000000000073a14405bdb5305e" +X-Mailman-Approved-At: Wed, 17 Mar 2021 19:10:49 +0000 +Cc: Bitcoin Protocol Discussion <bitcoin-dev@lists.linuxfoundation.org> +Subject: Re: [bitcoin-dev] BIP Proposal: Consensus (hard fork) PoST + Datastore for Energy Efficient Mining +X-BeenThere: bitcoin-dev@lists.linuxfoundation.org +X-Mailman-Version: 2.1.15 +Precedence: list +List-Id: Bitcoin Protocol Discussion <bitcoin-dev.lists.linuxfoundation.org> +List-Unsubscribe: <https://lists.linuxfoundation.org/mailman/options/bitcoin-dev>, + <mailto:bitcoin-dev-request@lists.linuxfoundation.org?subject=unsubscribe> +List-Archive: <http://lists.linuxfoundation.org/pipermail/bitcoin-dev/> +List-Post: <mailto:bitcoin-dev@lists.linuxfoundation.org> +List-Help: <mailto:bitcoin-dev-request@lists.linuxfoundation.org?subject=help> +List-Subscribe: <https://lists.linuxfoundation.org/mailman/listinfo/bitcoin-dev>, + <mailto:bitcoin-dev-request@lists.linuxfoundation.org?subject=subscribe> +X-List-Received-Date: Wed, 17 Mar 2021 05:59:47 -0000 + +--00000000000073a14405bdb5305e +Content-Type: multipart/alternative; boundary="00000000000073a14105bdb5305c" + +--00000000000073a14105bdb5305c +Content-Type: text/plain; charset="UTF-8" + +I wouldn't fully discount general purpose hardware or hardware outside of +the realm of ASICS. BOINC (https://cds.cern.ch/record/800111/files/p1099.pdf) +implements a decent distributed computing protocol (granted it isn't a +cryptocurrency), but it far computes data at a much cheaper cost compared +to the competition w/ decent levels of fault tolerance. I myself am running +an extremely large scale open distributed computing pipeline, and can tell +you for certain that what is out there is insane. In regards to the +argument of generic HDDs and CPUs, the algorithmic implementation I am +providing would likely make them more adaptable. More than likely, +evidently there would be specialized HDDs similar to BurstCoin Miners, and +128-core CPUs, and all that. This could be inevitable, but the main point +is providing access to other forms of computation along w/ ASICs. At the +very least, the generic guys can experience it, and other infrastructures +can have some form of compatibility. In regards to ASICBOOST, I am already +well aware of it, as well as mining firmwares, autotuning, multi-threaded +processing setups, overclocking, and even different research firms +involved. I think it is feasible to provide multiple forms of computation +without disenfranchising one over the other. I'm also well aware of the +history of BTC and how you can mine BTC just by downloading the whitepaper, +to USB block erupters, to generic CPUs, to few ASICS, to entire mining +farms. I also have seen experimental projects such as Cuckoo +<https://github.com/tromp/cuckoo>, so I know the arguments regarding +computation vs. memory boundness and whether or not they can be one of the +same. The answer is yes, but it needs to be designed correctly. I think in +regards to the level of improvement, this is just one of the improvements +in my BIPs in regards to making PoW more adaptable. I also have +cryptography improvements I'm looking into as well. Nonetheless, I believe +the implementation I want to do would at the very least be quite +interesting. + +Best regards, Andrew + +On Wed, Mar 17, 2021 at 1:05 AM ZmnSCPxj <ZmnSCPxj@protonmail.com> wrote: + +> Good morning Andrew, +> +> Looking over the text... +> +> > # I am looking towards integrating memory hard compatibility w/ the +> mining algorithm. Memory hard computation allows for time and space +> complexity for data storage functionality, and there is a way this can +> likely be implemented without disenfranchising current miners or their +> hardware if done right. +> +> I believe this represents a tradeoff between time and space --- either you +> use one spatial unit and take a lot of time, or you use multiple spatial +> units and take smaller units of time. +> +> But such time/space tradeoffs are already possible with the existing +> mechanism --- if you cannot run your existing SHA256d miner faster (time), +> you just buy more miners (space). +> +> Thus, I think the requirement for memory hardness is a red herring in the +> design of proof-of-work algorithms. +> Memory hardness *prevents* this tradeoff (you cannot create a smaller +> miner that takes longer to mine, as you have a memory requirement that +> prevents trading off space). +> +> It is also helpful to remember that spinning rust consumes electricity as +> well, and that any operation that requires changes in data being stored +> requires a lot of energy. +> Indeed, in purely computational algorithms (e.g. CPU processing pipelines) +> a significant amount of energy is spent on *changing* voltage levels, with +> very little energy (negligible compared to the energy spent in changing +> voltage levels in modern CMOS hardware) in *maintaining* the voltage levels. +> +> > I don't see a reason why somebody with $2m of regular hardware can't +> mine the same amount of BTC as somebody with $2m worth of ASICs. +> +> I assume here that "regular hardware" means "general-purpose computing +> device". +> +> The Futamura projections are a good reason I see: +> http://blog.sigfpe.com/2009/05/three-projections-of-doctor-futamura.html +> +> Basically, any interpreter + fixed program can be converted, via Futamura +> projection, to an optimized program that cannot interpret any other program +> but runs faster and takes less resources. +> +> In short, any hardware interpreter (i.e. general-purpose computing device) +> + a fixed proof-of-whatever program, can be converted to an optimized +> hardware that can only perform that proof-of-whatever program, but +> consuming less energy and space and will (eventually) be cheaper per unit +> as well, so that $2M of such a specific hardware will outperform $2M of +> general-purpose computing hardwre. +> +> Thus, all application-specificity (i.e. any fixed program) will always +> take less resources to run than a generic hardware interpreter that can run +> any program. +> +> Thus, if you ever nail down the specifics of your algorithm, and if a +> thousand-Bitcoin industry ever grows around that program, you will find +> that ASICs ***will*** arise that run that algorithm faster and less +> energy-consuming than general-purpose hardware that has to interpret a +> binary. +> **For one, memory/disk bus operations are limited only to actual data, +> without requiring additional bus operations to fetch code.** +> Data can be connected directly from the output of one computational +> sub-unit to the input of another, without requiring (as in the +> general-purpose hardware case) that the intermediate outputs be placed in +> general-purpose storage register (which, as noted, takes energy to *change* +> its contents, and as general-purpose storage will also be used to hold +> *other* intermediate outputs). +> Specialized HDDs can arise as well which are optimized for whatever access +> pattern your scheme requires, and that would also outperform +> general-purpose HDDs as well. +> +> Further optimizations may also exist in an ASIC context that are not +> readily visible but which are likely to be hidden somewhere --- the more +> complicated your program design, the more likely it is that you will not +> readily see such hidden optimizations that can be achieved by ASICs (xref +> ASICBOOST). +> +> In short, even with memory-hardness, an ASIC will arise which might need +> to be connected to an array of (possibly specialized) HDDs but which will +> still outperform your general-purpose hardware connected to an array of +> general-purpose storage. +> +> Indeed, various storage solutions already have different specializations: +> SMR HDDs replace tape drives, PMR HDDs serve as caches of SMR HDDs, SSDs +> serve as caches of PMR HDDs. +> An optimized technology stack like that can outperform a generic HDD. +> +> You cannot fight the inevitability of ASICs and other specialized +> hardware, just as you cannot fight specialization. +> +> You puny humans must specialize in order to achieve the heights of your +> civilization --- I can bet you 547 satoshis that you yourself cannot farm +> your own food, you specialize in software engineering of some kind and just +> pay a farmer to harvest your food for you. +> Indeed, you probably do not pay a farmer directly, but pay an intermediary +> that specializes in packing food for transport from the farm to your +> domicile. which itself probably delegates the actual transporting to +> another specialist. +> Similarly, ASICs will arise and focus on particularly high-value fixed +> computations, inevitably. +> +> +> +> Regards, +> ZmnSCPxj +> +> + +--00000000000073a14105bdb5305c +Content-Type: text/html; charset="UTF-8" +Content-Transfer-Encoding: quoted-printable + +<div dir=3D"ltr"><div>I wouldn't fully discount general purpose hardwar= +e or hardware outside of the realm of ASICS. BOINC (<a href=3D"https://cds.= +cern.ch/record/800111/files/p1099.pdf" target=3D"_blank">https://cds.cern.c= +h/record/800111/files/p1099.pdf</a>) implements a decent distributed comput= +ing protocol (granted it isn't a cryptocurrency), but it far computes d= +ata at a much cheaper cost compared to the competition w/ decent levels of = +fault tolerance. I myself am running an extremely large scale open distribu= +ted computing pipeline, and can tell you for certain that what is out there= + is insane. In regards to the argument of generic HDDs and CPUs, the algori= +thmic implementation I am providing would likely make them more adaptable. = +More than likely, evidently there would be specialized HDDs similar to Burs= +tCoin Miners, and 128-core CPUs, and all that. This could be inevitable, bu= +t the main point is providing access to other forms of computation along w/= + ASICs. At the very least, the generic guys can experience it, and other in= +frastructures can have some form of compatibility. In regards to ASICBOOST,= + I am already well aware of it, as well as mining firmwares, autotuning, mu= +lti-threaded processing setups, overclocking, and even different research f= +irms involved. I think it is feasible to provide multiple forms of computat= +ion without disenfranchising one over the other. I'm also well aware of= + the history of BTC and how you can mine BTC just by downloading the whitep= +aper, to USB block erupters, to generic CPUs, to few ASICS, to entire minin= +g farms. I also have seen experimental projects such as<a href=3D"https://g= +ithub.com/tromp/cuckoo"> Cuckoo</a>, so I know the arguments regarding comp= +utation vs. memory boundness and whether or not they can be one of the same= +. The answer is yes, but it needs to be designed correctly. I think in rega= +rds to the level of improvement, this is just one of the improvements in my= + BIPs in regards to making PoW more adaptable. I also have cryptography imp= +rovements I'm looking into as well. Nonetheless, I believe the implemen= +tation I want to do would at the very least be quite interesting.</div><div= +><br></div><div>Best regards, Andrew<br></div></div><br><div class=3D"gmail= +_quote"><div dir=3D"ltr" class=3D"gmail_attr">On Wed, Mar 17, 2021 at 1:05 = +AM ZmnSCPxj <<a href=3D"mailto:ZmnSCPxj@protonmail.com">ZmnSCPxj@protonm= +ail.com</a>> wrote:<br></div><blockquote class=3D"gmail_quote" style=3D"= +margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-lef= +t:1ex">Good morning Andrew,<br> +<br> +Looking over the text...<br> +<br> +> # I am looking towards integrating memory hard compatibility w/ the mi= +ning algorithm. Memory hard computation allows for time and space complexit= +y for data storage functionality, and there is a way this can likely be imp= +lemented without disenfranchising current miners or their hardware if done = +right.<br> +<br> +I believe this represents a tradeoff between time and space --- either you = +use one spatial unit and take a lot of time, or you use multiple spatial un= +its and take smaller units of time.<br> +<br> +But such time/space tradeoffs are already possible with the existing mechan= +ism --- if you cannot run your existing SHA256d miner faster (time), you ju= +st buy more miners (space).<br> +<br> +Thus, I think the requirement for memory hardness is a red herring in the d= +esign of proof-of-work algorithms.<br> +Memory hardness *prevents* this tradeoff (you cannot create a smaller miner= + that takes longer to mine, as you have a memory requirement that prevents = +trading off space).<br> +<br> +It is also helpful to remember that spinning rust consumes electricity as w= +ell, and that any operation that requires changes in data being stored requ= +ires a lot of energy.<br> +Indeed, in purely computational algorithms (e.g. CPU processing pipelines) = +a significant amount of energy is spent on *changing* voltage levels, with = +very little energy (negligible compared to the energy spent in changing vol= +tage levels in modern CMOS hardware) in *maintaining* the voltage levels.<b= +r> +<br> +> I don't see a reason why somebody with $2m of regular hardware can= +'t mine the same amount of BTC as somebody with $2m worth of ASICs.<br> +<br> +I assume here that "regular hardware" means "general-purpose= + computing device".<br> +<br> +The Futamura projections are a good reason I see: <a href=3D"http://blog.si= +gfpe.com/2009/05/three-projections-of-doctor-futamura.html" rel=3D"noreferr= +er" target=3D"_blank">http://blog.sigfpe.com/2009/05/three-projections-of-d= +octor-futamura.html</a><br> +<br> +Basically, any interpreter + fixed program can be converted, via Futamura p= +rojection, to an optimized program that cannot interpret any other program = +but runs faster and takes less resources.<br> +<br> +In short, any hardware interpreter (i.e. general-purpose computing device) = ++ a fixed proof-of-whatever program, can be converted to an optimized hardw= +are that can only perform that proof-of-whatever program, but consuming les= +s energy and space and will (eventually) be cheaper per unit as well, so th= +at $2M of such a specific hardware will outperform $2M of general-purpose c= +omputing hardwre.<br> +<br> +Thus, all application-specificity (i.e. any fixed program) will always take= + less resources to run than a generic hardware interpreter that can run any= + program.<br> +<br> +Thus, if you ever nail down the specifics of your algorithm, and if a thous= +and-Bitcoin industry ever grows around that program, you will find that ASI= +Cs ***will*** arise that run that algorithm faster and less energy-consumin= +g than general-purpose hardware that has to interpret a binary.<br> +**For one, memory/disk bus operations are limited only to actual data, with= +out requiring additional bus operations to fetch code.**<br> +Data can be connected directly from the output of one computational sub-uni= +t to the input of another, without requiring (as in the general-purpose har= +dware case) that the intermediate outputs be placed in general-purpose stor= +age register (which, as noted, takes energy to *change* its contents, and a= +s general-purpose storage will also be used to hold *other* intermediate ou= +tputs).<br> +Specialized HDDs can arise as well which are optimized for whatever access = +pattern your scheme requires, and that would also outperform general-purpos= +e HDDs as well.<br> +<br> +Further optimizations may also exist in an ASIC context that are not readil= +y visible but which are likely to be hidden somewhere --- the more complica= +ted your program design, the more likely it is that you will not readily se= +e such hidden optimizations that can be achieved by ASICs (xref ASICBOOST).= +<br> +<br> +In short, even with memory-hardness, an ASIC will arise which might need to= + be connected to an array of (possibly specialized) HDDs but which will sti= +ll outperform your general-purpose hardware connected to an array of genera= +l-purpose storage.<br> +<br> +Indeed, various storage solutions already have different specializations: S= +MR HDDs replace tape drives, PMR HDDs serve as caches of SMR HDDs, SSDs ser= +ve as caches of PMR HDDs.<br> +An optimized technology stack like that can outperform a generic HDD.<br> +<br> +You cannot fight the inevitability of ASICs and other specialized hardware,= + just as you cannot fight specialization.<br> +<br> +You puny humans must specialize in order to achieve the heights of your civ= +ilization --- I can bet you 547 satoshis that you yourself cannot farm your= + own food, you specialize in software engineering of some kind and just pay= + a farmer to harvest your food for you.<br> +Indeed, you probably do not pay a farmer directly, but pay an intermediary = +that specializes in packing food for transport from the farm to your domici= +le. which itself probably delegates the actual transporting to another spec= +ialist.<br> +Similarly, ASICs will arise and focus on particularly high-value fixed comp= +utations, inevitably.<br> +<br> +<br> +<br> +Regards,<br> +ZmnSCPxj<br> +<br> +</blockquote></div> + +--00000000000073a14105bdb5305c-- +--00000000000073a14405bdb5305e +Content-Type: image/png; + name="=?UTF-8?Q?Screenshot=5F2021=2D03=2D17_BoincOverview_=E2=80=93_BOINC=2Epng?=" +Content-Disposition: attachment; + filename="=?UTF-8?Q?Screenshot=5F2021=2D03=2D17_BoincOverview_=E2=80=93_BOINC=2Epng?=" +Content-Transfer-Encoding: base64 +Content-ID: <f_kmd06qnj0> +X-Attachment-Id: f_kmd06qnj0 + +iVBORw0KGgoAAAANSUhEUgAABusAAADiCAYAAABHsPpeAAAgAElEQVR4nOzdeXhMZ/8/8DvrbNn3 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