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Comment by mananaysiempre | original | Casey Muratori – The Root of the Root of All Evil – BSC 2026 [video]
[−]mananaysiempre · 2026-08-30 Sun 16:32 UTC · link
> I/O is inherently very slow compared to computation.

Not anymore, no. Your SSD, before any caching, does gigabytes per second of sequential reads. For any bytewise processing, except the most trivial of tasks, you’ll struggle to get above a few hundred megabytes per second with scalar (native) code. To actually keep up with a modern SSD, you’ll virtually always have to hand-write SIMD loops, minimize the number of syscalls with tools like io_uring, or possibly be smart about distributing tasks across cores without ruining the access pattern.

For instance, simdjson is famously fast but I don’t believe it can keep up with say a high-end PCIe Gen 4 SSD like a Samsung 990 PRO, let alone the latest-and-greatest (and, literally, hottest) Gen 5 stuff. And I know of no Unicode normalizer that would be able to do a gigabyte per second on general inputs (not ASCII, not Latin-1) simply because the latency for dependent lookup table accesses is absolute murder.

[−]duped · 2026-08-30 Sun 17:34 UTC · link
Classic latency vs throughput problem. 10s of GB/s of disk bandwidth doesn't help when my problem is serialized durable writes.
[−]AnimalMuppet · 2026-08-30 Sun 17:41 UTC · link
Your analysis is correct if and only if the data is on the same machine as the calculations. If the data comes from another machine, it comes at network speed. If it comes from the internet, it comes at non-local network speed. That's very different from SSD speed.