Ethash
Última edição: @MCreimer(opens in a new tab), 6 de março de 2024
Ethash(opens in a new tab) é uma versão modificada do algoritmo Dagger-Hashimoto. A prova de trabalho Ethash faz uso de muita memória(opens in a new tab), o que foi pensado para tornar o algoritmo ASIC resistente. Os ASICs Ethash foram eventualmente desenvolvidos, mas a mineração de GPU ainda era uma opção viável até que a prova de trabalho fosse desativada. Ethash ainda é usado para minerar outras moedas em outras redes de prova de trabalho não Ethereum.
Como o Ethash funciona?
Dificuldade de memória é alcançada com um algoritmo de prova de trabalho que requer a escolha de subconjuntos de um recurso fixo dependente do nonce e do cabeçalho do bloco. Este recurso (alguns gigabytes em tamanho) é chamado de DAG. O DAG é alterado a cada 30.000 blocos, uma janela de cerca de 125 horas chamada de período eletrônico (aproximadamente 5,2 dias) e leva um tempo para gerar. Como o DAG depende apenas da altura do bloco, ele pode ser pré-gerado, mas o cliente não precisa esperar até o final deste processo para produzir um bloco. Se os clientes não pré-geraram e armazenaram em cache os DAGs antes, a rede pode sofrer um grande atraso em blocos em cada transição de período eletrônico (epoch). Note que o DAG não precisa ser gerado para verificar a prova de trabalho, permitindo essencialmente a verificação com baixa CPU e pouca memória.
A rota geral que o algoritmo faz é a seguinte:
- Existe uma seed que pode ser calculada para cada bloco escaneando os cabeçalhos dos blocos até esse ponto.
- Da seed, pode-se calcular um cache pseudo-randômico de 16 MB. Clientes leves armazenam o cache.
- A partir do cache, podemos gerar um conjunto de dados de 1 GB, com a propriedade que cada item no conjunto de dados depende de apenas um pequeno número de itens do cache. Clientes e mineradores completos armazenam o conjunto de dados. O conjunto de dados cresce linearmente com o tempo.
- Mineração envolve pegar fatias aleatórias do conjunto de dados e fazer hashing deles juntos. A verificação pode ser feita com pouca memória usando o cache para regenerar os pedaços específicos do conjunto de dados que você precisa, então você só precisa armazenar o cache.
O grande conjunto de dados é atualizado uma vez a cada 30.000 blocos, então o maior esforço de um minerador é ler o conjunto de dados, e não fazer alterações nele.
Definições
Nós empregamos as seguintes definições:
1WORD_BYTES = 4 # bytes in word2DATASET_BYTES_INIT = 2**30 # bytes in dataset at genesis3DATASET_BYTES_GROWTH = 2**23 # dataset growth per epoch4CACHE_BYTES_INIT = 2**24 # bytes in cache at genesis5CACHE_BYTES_GROWTH = 2**17 # cache growth per epoch6CACHE_MULTIPLIER=1024 # Size of the DAG relative to the cache7EPOCH_LENGTH = 30000 # blocks per epoch8MIX_BYTES = 128 # width of mix9HASH_BYTES = 64 # hash length in bytes10DATASET_PARENTS = 256 # number of parents of each dataset element11CACHE_ROUNDS = 3 # number of rounds in cache production12ACCESSES = 64 # number of accesses in hashimoto loopExibir tudo
O uso de 'SHA3'
O desenvolvimento do Ethereum coincidiu com o desenvolvimento do padrão SHA3, e o processo de padrões fez uma alteração tardia no preenchimento do algoritmo de hash finalizado, para que os hashes "sha3_256" e "sha3_512" do Ethereum não sejam hashes sha3 padrão, mas uma variante muitas vezes referida como "Keccak-256" e "Keccak-512" em outros contextos. Veja a discussão, por exemplo, aqui(opens in a new tab), aqui(opens in a new tab) ou aqui(opens in a new tab).
Tenha isso em mente, já que hashes "sha3" são referidos na descrição do algoritmo abaixo.
Parâmetros
Os parâmetros do cache Ethash e do conjunto de dados dependem do número do bloco. Tamanho do cache e tamanho do conjunto de dados crescem linearmente; entretanto, sempre tomamos o mais alto prime abaixo do limiar de crescimento linear, a fim de reduzir o risco de regularidades acidentais que conduzem a comportamentos cíclicos.
1def get_cache_size(block_number):2 sz = CACHE_BYTES_INIT + CACHE_BYTES_GROWTH * (block_number // EPOCH_LENGTH)3 sz -= HASH_BYTES4 while not isprime(sz / HASH_BYTES):5 sz -= 2 * HASH_BYTES6 return sz78def get_full_size(block_number):9 sz = DATASET_BYTES_INIT + DATASET_BYTES_GROWTH * (block_number // EPOCH_LENGTH)10 sz -= MIX_BYTES11 while not isprime(sz / MIX_BYTES):12 sz -= 2 * MIX_BYTES13 return szExibir tudoCopiar
Tabelas de conjunto de dados e valores de tamanho do cache são fornecidos no apêndice.
Geração de cache
Agora, especificamos a função para produzir um cache:
1def mkcache(cache_size, seed):2 n = cache_size // HASH_BYTES34 # Sequentially produce the initial dataset5 o = [sha3_512(seed)]6 for i in range(1, n):7 o.append(sha3_512(o[-1]))89 # Use a low-round version of randmemohash10 for _ in range(CACHE_ROUNDS):11 for i in range(n):12 v = o[i][0] % n13 o[i] = sha3_512(map(xor, o[(i-1+n) % n], o[v]))1415 return oExibir tudoCopiar
O processo de produção de cache envolve primeiro preenchimento sequencial de 32 MB de memória e depois executar duas passagens do algoritmo RandMemoHash de Sergio Demian Lerner de Strict Memory Hard Hashing Functions (2014)(opens in a new tab). A saída é um conjunto de 524288 valores de 64-bytes.
Função de agregação de dados
Usamos um algoritmo inspirado no FNV hash(opens in a new tab) em alguns casos como um substituto não associativo para o XOR. Observe que multiplicamos o primo com a entrada completa de 32 bits, em contraste com a especificação FNV-1 que multiplica o primo por um byte (octeto) por sua vez.
1FNV_PRIME = 0x0100019323def fnv(v1, v2):4 return ((v1 * FNV_PRIME) ^ v2) % 2**32Copiar
Observe que até mesmo o yellow paper especifica fnv como v1*(FNV_PRIME ^ v2). Todas as implementações atuais usam consistentemente a definição acima.
Cálculo completo do conjunto de dados
Cada item de 64 bytes no conjunto de dados completo de 1 GB é calculado da seguinte forma:
1def calc_dataset_item(cache, i):2 n = len(cache)3 r = HASH_BYTES // WORD_BYTES4 # initialize the mix5 mix = copy.copy(cache[i % n])6 mix[0] ^= i7 mix = sha3_512(mix)8 # fnv it with a lot of random cache nodes based on i9 for j in range(DATASET_PARENTS):10 cache_index = fnv(i ^ j, mix[j % r])11 mix = map(fnv, mix, cache[cache_index % n])12 return sha3_512(mix)Exibir tudoCopiar
Essencialmente, combinamos dados de 256 nós de cache selecionados de maneira pseudo-aleatória e fazemos o hash para calcular o nó do conjunto de dados. Todo o conjunto de dados é então gerado por:
1def calc_dataset(full_size, cache):2 return [calc_dataset_item(cache, i) for i in range(full_size // HASH_BYTES)]Copiar
Loop principal
Agora, especificamos o loop padrão "hashimoto" principal, onde agregamos dados do conjunto de dados completo para produzir nosso valor final para um cabeçalho em particular ou nonce. No código abaixo, header
representa o hash _SHA3-256 da representação RLP de um cabeçalho de bloco _truncado, ou seja, de um cabeçalho excluindo os campos mixHash e nonce. nonce
é os oito bytes de um inteiro sem sinal de 64 bits na ordem big-endian. Então nonce[::-1]
é a representação little-endian de oito bytes desse valor:
1def hashimoto(header, nonce, full_size, dataset_lookup):2 n = full_size / HASH_BYTES3 w = MIX_BYTES // WORD_BYTES4 mixhashes = MIX_BYTES / HASH_BYTES5 # combine header+nonce into a 64 byte seed6 s = sha3_512(header + nonce[::-1])7 # start the mix with replicated s8 mix = []9 for _ in range(MIX_BYTES / HASH_BYTES):10 mix.extend(s)11 # mix in random dataset nodes12 for i in range(ACCESSES):13 p = fnv(i ^ s[0], mix[i % w]) % (n // mixhashes) * mixhashes14 newdata = []15 for j in range(MIX_BYTES / HASH_BYTES):16 newdata.extend(dataset_lookup(p + j))17 mix = map(fnv, mix, newdata)18 # compress mix19 cmix = []20 for i in range(0, len(mix), 4):21 cmix.append(fnv(fnv(fnv(mix[i], mix[i+1]), mix[i+2]), mix[i+3]))22 return {23 "mix digest": serialize_hash(cmix),24 "result": serialize_hash(sha3_256(s+cmix))25 }2627def hashimoto_light(full_size, cache, header, nonce):28 return hashimoto(header, nonce, full_size, lambda x: calc_dataset_item(cache, x))2930def hashimoto_full(full_size, dataset, header, nonce):31 return hashimoto(header, nonce, full_size, lambda x: dataset[x])Exibir tudoCopiar
Essencialmente, mantemos um "mix" de 128 bytes de largura, e de maneira sequencial e repetida buscamos 128 bytes do conjunto de dados completo e usamos a função fnv
para combiná-lo com o mix. 128 bytes de acesso sequencial são usados para que cada rodada do algoritmo sempre busque uma página inteira de RAM, minimizando a possibilidade de que o buffer de pesquisa de tradução perca o que os ASICs teoricamente seriam capazes de evitar.
Se a saída deste algoritmo está abaixo do alvo desejado, então o nonce é válido. Observe que a aplicação extra de sha3_256
no final garante que existe um nonce intermediário que pode ser fornecido para provar que pelo menos uma pequena quantidade de trabalho foi feita; esta rápida verificação de prova de trabalho pode ser usada para fins anti-DDoS. Serve também para dar garantias estatísticas de que o resultado é um número imparcial de 256 bits.
Mineração
O algoritmo de mineração é definido da seguinte forma:
1def mine(full_size, dataset, header, difficulty):2 # zero-pad target to compare with hash on the same digit3 target = zpad(encode_int(2**256 // difficulty), 64)[::-1]4 from random import randint5 nonce = randint(0, 2**64)6 while hashimoto_full(full_size, dataset, header, nonce) > target:7 nonce = (nonce + 1) % 2**648 return nonceCopiar
Definição do hash seed
Para calcular o hash seed que seria usado para minerar no topo de um determinado bloco, usamos o seguinte algoritmo:
1 def get_seedhash(block):2 s = '\x00' * 323 for i in range(block.number // EPOCH_LENGTH):4 s = serialize_hash(sha3_256(s))5 return sCopiar
Observe que, para que a mineração e a verificação aconteçam sem contratempos, recomendamos pré-computar os hashes seed e conjuntos de dados futuros em threads separadas.
Leitura adicional
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Apêndice
O código a seguir deve ser precedido se você estiver interessado em executar a especificação python acima como código.
1import sha3, copy23# Assumes little endian bit ordering (same as Intel architectures)4def decode_int(s):5 return int(s[::-1].encode('hex'), 16) if s else 067def encode_int(s):8 a = "%x" % s9 return '' if s == 0 else ('0' * (len(a) % 2) + a).decode('hex')[::-1]1011def zpad(s, length):12 return s + '\x00' * max(0, length - len(s))1314def serialize_hash(h):15 return ''.join([zpad(encode_int(x), 4) for x in h])1617def deserialize_hash(h):18 return [decode_int(h[i:i+WORD_BYTES]) for i in range(0, len(h), WORD_BYTES)]1920def hash_words(h, sz, x):21 if isinstance(x, list):22 x = serialize_hash(x)23 y = h(x)24 return deserialize_hash(y)2526def serialize_cache(ds):27 return ''.join([serialize_hash(h) for h in ds])2829serialize_dataset = serialize_cache3031# sha3 hash function, outputs 64 bytes32def sha3_512(x):33 return hash_words(lambda v: sha3.sha3_512(v).digest(), 64, x)3435def sha3_256(x):36 return hash_words(lambda v: sha3.sha3_256(v).digest(), 32, x)3738def xor(a, b):39 return a ^ b4041def isprime(x):42 for i in range(2, int(x**0.5)):43 if x % i == 0:44 return False45 return TrueExibir tudoCopiar
Tamanho dos dados
As tabelas de pesquisa a seguir fornecem aproximadamente 2.048 períodos eletrônicos (epoch) tabulados de tamanhos de dados e tamanhos de cache.
1def get_datasize(block_number):2 return data_sizes[block_number // EPOCH_LENGTH]34def get_cachesize(block_number):5 return cache_sizes[block_number // EPOCH_LENGTH]67data_sizes = [81073739904, 1082130304, 1090514816, 1098906752, 1107293056,91115684224, 1124070016, 1132461952, 1140849536, 1149232768,101157627776, 1166013824, 1174404736, 1182786944, 1191180416,111199568512, 1207958912, 1216345216, 1224732032, 1233124736,121241513344, 1249902464, 1258290304, 1266673792, 1275067264,131283453312, 1291844992, 1300234112, 1308619904, 1317010048,141325397376, 1333787776, 1342176128, 1350561664, 1358954368,151367339392, 1375731584, 1384118144, 1392507008, 1400897408,161409284736, 1417673344, 1426062464, 1434451072, 1442839168,171451229056, 1459615616, 1468006016, 1476394112, 1484782976,181493171584, 1501559168, 1509948032, 1518337664, 1526726528,191535114624, 1543503488, 1551892096, 1560278656, 1568669056,201577056384, 1585446272, 1593831296, 1602219392, 1610610304,211619000192, 1627386752, 1635773824, 1644164224, 1652555648,221660943488, 1669332608, 1677721216, 1686109312, 1694497664,231702886272, 1711274624, 1719661184, 1728047744, 1736434816,241744829056, 1753218944, 1761606272, 1769995904, 1778382464,251786772864, 1795157888, 1803550592, 1811937664, 1820327552,261828711552, 1837102976, 1845488768, 1853879936, 1862269312,271870656896, 1879048064, 1887431552, 1895825024, 1904212096,281912601216, 1920988544, 1929379456, 1937765504, 1946156672,291954543232, 1962932096, 1971321728, 1979707264, 1988093056,301996487552, 2004874624, 2013262208, 2021653888, 2030039936,312038430848, 2046819968, 2055208576, 2063596672, 2071981952,322080373632, 2088762752, 2097149056, 2105539712, 2113928576,332122315136, 2130700672, 2139092608, 2147483264, 2155872128,342164257664, 2172642176, 2181035392, 2189426048, 2197814912,352206203008, 2214587264, 2222979712, 2231367808, 2239758208,362248145024, 2256527744, 2264922752, 2273312128, 2281701248,372290086272, 2298476672, 2306867072, 2315251072, 2323639168,382332032128, 2340420224, 2348808064, 2357196416, 2365580416,392373966976, 2382363008, 2390748544, 2399139968, 2407530368,402415918976, 2424307328, 2432695424, 2441084288, 2449472384,412457861248, 2466247808, 2474637184, 2483026816, 2491414144,422499803776, 2508191872, 2516582272, 2524970368, 2533359232,432541743488, 2550134144, 2558525056, 2566913408, 2575301504,442583686528, 2592073856, 2600467328, 2608856192, 2617240448,452625631616, 2634022016, 2642407552, 2650796416, 2659188352,462667574912, 2675965312, 2684352896, 2692738688, 2701130624,472709518464, 2717907328, 2726293376, 2734685056, 2743073152,482751462016, 2759851648, 2768232832, 2776625536, 2785017728,492793401984, 2801794432, 2810182016, 2818571648, 2826959488,502835349376, 2843734144, 2852121472, 2860514432, 2868900992,512877286784, 2885676928, 2894069632, 2902451584, 2910843008,522919234688, 2927622784, 2936011648, 2944400768, 2952789376,532961177728, 2969565568, 2977951616, 2986338944, 2994731392,543003120256, 3011508352, 3019895936, 3028287104, 3036675968,553045063808, 3053452928, 3061837696, 3070228352, 3078615424,563087003776, 3095394944, 3103782272, 3112173184, 3120562048,573128944768, 3137339264, 3145725056, 3154109312, 3162505088,583170893184, 3179280256, 3187669376, 3196056704, 3204445568,593212836736, 3221224064, 3229612928, 3238002304, 3246391168,603254778496, 3263165824, 3271556224, 3279944576, 3288332416,613296719232, 3305110912, 3313500032, 3321887104, 3330273152,623338658944, 3347053184, 3355440512, 3363827072, 3372220288,633380608384, 3388997504, 3397384576, 3405774208, 3414163072,643422551936, 3430937984, 3439328384, 3447714176, 3456104576,653464493952, 3472883584, 3481268864, 3489655168, 3498048896,663506434432, 3514826368, 3523213952, 3531603584, 3539987072,673548380288, 3556763264, 3565157248, 3573545344, 3581934464,683590324096, 3598712704, 3607098752, 3615488384, 3623877248,693632265856, 3640646528, 3649043584, 3657430144, 3665821568,703674207872, 3682597504, 3690984832, 3699367808, 3707764352,713716152448, 3724541056, 3732925568, 3741318016, 3749706368,723758091136, 3766481536, 3774872704, 3783260032, 3791650432,733800036224, 3808427648, 3816815488, 3825204608, 3833592704,743841981568, 3850370432, 3858755968, 3867147904, 3875536256,753883920512, 3892313728, 3900702592, 3909087872, 3917478784,763925868416, 3934256512, 3942645376, 3951032192, 3959422336,773967809152, 3976200064, 3984588416, 3992974976, 4001363584,784009751168, 4018141312, 4026530432, 4034911616, 4043308928,794051695488, 4060084352, 4068472448, 4076862848, 4085249408,804093640576, 4102028416, 4110413696, 4118805632, 4127194496,814135583104, 4143971968, 4152360832, 4160746112, 4169135744,824177525888, 4185912704, 4194303616, 4202691968, 4211076736,834219463552, 4227855488, 4236246656, 4244633728, 4253022848,844261412224, 4269799808, 4278184832, 4286578048, 4294962304,854303349632, 4311743104, 4320130432, 4328521088, 4336909184,864345295488, 4353687424, 4362073472, 4370458496, 4378852736,874387238528, 4395630208, 4404019072, 4412407424, 4420790656,884429182848, 4437571456, 4445962112, 4454344064, 4462738048,894471119232, 4479516544, 4487904128, 4496289664, 4504682368,904513068416, 4521459584, 4529846144, 4538232704, 4546619776,914555010176, 4563402112, 4571790208, 4580174464, 4588567936,924596957056, 4605344896, 4613734016, 4622119808, 4630511488,934638898816, 4647287936, 4655675264, 4664065664, 4672451968,944680842624, 4689231488, 4697620352, 4706007424, 4714397056,954722786176, 4731173248, 4739562368, 4747951744, 4756340608,964764727936, 4773114496, 4781504384, 4789894784, 4798283648,974806667648, 4815059584, 4823449472, 4831835776, 4840226176,984848612224, 4857003392, 4865391488, 4873780096, 4882169728,994890557312, 4898946944, 4907333248, 4915722368, 4924110976,1004932499328, 4940889728, 4949276032, 4957666432, 4966054784,1014974438016, 4982831488, 4991221376, 4999607168, 5007998848,1025016386432, 5024763776, 5033164672, 5041544576, 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