turbo-geth
go-ethereum
turbo-geth | go-ethereum | |
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58 | 365 | |
2,945 | 46,155 | |
1.6% | 1.2% | |
9.9 | 9.9 | |
6 days ago | 5 days ago | |
Go | Go | |
GNU Lesser General Public License v3.0 only | GNU Lesser General Public License v3.0 only |
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turbo-geth
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AMD EPYC 7C13 Is a Surprisingly Cheap and Good CPU
To be clear, it was a CPU fault that doesn't occur at all when running e.g. stress-ng, but only (as far as I know) when running our particular production workload.
And only after several hours of running our production workload.
But then, once it's known to be provokeable for a given machine, it's extremely reliable to trigger it again — in that it seems to take the same number of executed instructions that utilize the faulty part of the die, since power on. (I.e. if I run a workload that's 50% AES-NI and 50% something else, then it takes exactly twice as long to fault as if the workload was 100% AES-NI.)
And it isn't provoked any more quickly, by having just provoked it with the last hard-fault — i.e. there's no temporal locality to it. Which would make both "environmental conditions" and "CPU is overheating / overvolting" much less likely as contributing factors.
> There have been enough of them in private hands for long enough that if there were widespread issues they would be well-known.
Our setup is likely a bit unusual. These machines that experienced the faults, have every available PCIe lane (other than the few given to the NIC) dedicated to NVMe; where we've got the NVMe sticks stuck together in software RAIDO (meaning that every disk read fans in as many almost-precisely-parallel PCIe packets contending for bus time to DMA their way back into the kernel BIO buffers.) On top of this, we then have every core saturated with parallel CPU-bottlenecked activity, with a heavy focus on these AES-NI instructions; and a high level of rapid allocation/dellocation of multi-GB per-client working arenas, contending against a very large and very hot disk page cache.
I'll put it like this: some of these machines are "real-time OLAP" DB (Postgres) servers. And under load, our PG transactions sit in WAIT_LWLOCK waiting to start up, because they're actually contending over acquiring reader access to the global in-memory pg_locks table in order to write their per-table READ_SHARED locks there (in turn because they're dealing with wide joins across N tables in M schemas where each table has hundreds of partitions and the query is an aggregate so no constraint-exclusion can be used.) Imagine the TLB havoc going on, as those forked-off query workers fight for time.
It's to the point that if we don't either terminate our long-lived client connections (even when not idle), or restart our PG servers at least once a month, we actually see per-backend resource leaks that eventually cause PG to get OOMed!
The machines that aren't DB servers, meanwhile — but are still set up the same on an OS level — are blockchain nodes, running https://github.com/ledgerwatch/erigon, which likes to do its syncing work in big batches: download N blocks, then execute N blocks, then index N blocks. The part that reliably causes the faults is "hashing N blocks", for sufficiently large values of N that you only ever really hit during a backfill sync, not live sync.
In neither case would I expect many others to have hit on just the right combination of load to end up with the same problems.
(Which is why I don't really believe that whatever problem AMD might have seen, is related to this one. This seems more like a single-batch production error than anything, where OVH happened to acquire multiple CPUs from that single batch.)
> It's possible that AMD didn't order enough capacity from TSMC to meet demand, and couldn't get more during the COVID supply chain issues.
Yes, but that doesn't explain why they weren't able to ramp up production at any point in the last four years. Even now, there are still likely some smaller hosts that would like to buy EPYC 7xxxs at more-affordable prices, if AMD would make them.
You need an additional factor to explain this lack of ramp-up post-COVID; and to explain why the cloud providers aren't still buying any 7xxxs (which they would normally do, to satisfy legacy clients who want to replicate their exact setup across more AZs/regions.) Server CPUs don't normally have 2-year purchase commitments. It's normally more like 6.
Sure, maybe Zen4c was super-marketable to the clouds' customers, so they negotiated with AMD to drop all their existing spend commitments on 7xxx parts purchases in favor of committing to 9xxx parts purchases. (But why would AMD agree to that, without anything the clouds could hold over their head? It would mean shutting down many of the 7xxx production lines early, translating to the CapEx for those production lines not getting paid off!)
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erigon sync log correct?
consensus client/execution client -> ERIGON v2.45.2 and NIMBUS v23.5.1
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Can anyone share updated Erigon Grafana dashboard json file?
This file (https://github.com/ledgerwatch/erigon/blob/devel/cmd/prometheus/dashboards/erigon.json) is outdated. Many panels are not working. Would appreciate if someone can share the json with all the useful panels.
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Syncing an erigon node
48 hours - currently on stage 7 - https://github.com/ledgerwatch/erigon/blob/devel/eth/stagedsync/README.md
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Ethereum's pending withdrawals total $1.34 billion after Shapella
https://github.com/ledgerwatch/erigon 696 contributors
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Daily General Discussion - April 12, 2023
Erigon 2.41.0 does come with Shanghai for mainnet though so as long as people are running 2.41.0 or 2.42.0 they will be all set.
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How Client Architecture applies to decentralization & security in Crypto
— Erigon ***(~10.8% of all clients)***A fork of Geth client (also in the GO programming language) that is focused on maximizing the efficiency of storage for archive nodes.
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Current known issues with Shapella clients
Github issue tracking it, likely to be fixed on Erigon side
- Erigon v2.41.0 is out. Ready to Shanghai upgrade for Ethereum mainnet
- Erigon v2.40.1 released
go-ethereum
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Ethereum Foundation removes their canary
Even more relevant would be the Ethereum Improvement Proposal repo (where people submit proposals to change the spec):
https://github.com/ethereum/EIPs
Or the go-ethereum execution client (the most popular execution client):
https://github.com/ethereum/go-ethereum
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How I Contributed One Line of Code to Ethereum
Geth - Official Go implementation of the Ethereum protocol.
- Geth v1.13.5: Further fixes to path state scheme quirks
- Geth v1.13.3: Pebble fixes and prep work for the upcoming Cancun hard fork
- Goerli bootnodes
- Geth v1.12.1 is released
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Geth online pruning ETA
Go ahead and prune. Pbss progress can be followed here: https://github.com/ethereum/go-ethereum/pull/25963
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How are blockchains built and deployed?
you may as well just look at the Ethereum reference implementation: https://github.com/ethereum/go-ethereum
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Daily General Discussion - June 18, 2023
Interestingly, this was mitigated in Geth v1.11.4 this March, so should no longer be a concern on Ethereum, though the authors note that forks e.g. BSC and ETC may still be vulnerable.
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Bot for GitHub/Lab Releases
I want to create a bot that sends messages once new releases of certain GitHub/Gitlab repo’s ( -https://github.com/bitcoin/bitcoin/releases -https://github.com/ethereum/go-ethereum/releases -https://github.com/prysmaticlabs/prysm/releases -https://github.com/dashpay/dash/releases -https://github.com/Team-Kujira/core/tags -https://gitlab.com/thorchain/thornode/-/releases ) have been released.
What are some alternatives?
besu - An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client https://wiki.hyperledger.org/display/besu
Nethermind - A robust execution client for Ethereum node operators.
protocols - A zkRollup DEX & Payment Protocol
web3.py - A python interface for interacting with the Ethereum blockchain and ecosystem.
awesome-solidity - ⟠ A curated list of awesome Solidity resources, libraries, tools and more
ethereum2-docker-compose - Run different kind of Ethereum 2 staking nodes with monitoring tools and own Ethereum 1 node out of the box!
cosmos-sdk - :chains: A Framework for Building High Value Public Blockchains :sparkles:
yearn-protocol - Yearn smart contracts
core-geth - A highly configurable Go implementation of the Ethereum protocol.
awesome-ethereum - :zap: Awesome Ethereum Resources
Parity - (deprecated) The fast, light, and robust client for the Ethereum mainnet.