PostgreSQL Asynchronous Commit that can be used in a similar way to Mongo's j: false; significantly speeding up writes, at the risk of losing most recent data modifications: https://www.postgresql.org/docs/current/wal-async-commit.html. There also are Unlogged Tables, with changes not written to the WAL (Write Ahead Log): https://www.crunchydata.com/blog/postgresl-unlogged-tables
X925’s frontend can sustain 10 instructions per cycle, but strangely has lower throughput when using 4 KB pages. Using 2 MB pages lets it achieve 10 instructions per cycle as long as the test fits within the 64 KB instruction cache. Cortex X925 can fuse NOP pairs into a single MOP, but that fusion doesn’t bring throughput above 10 instructions per cycle. Details aside, X925 has high per-cycle frontend throughput compared to its x86-64 peer, but slightly lower actual throughput when considering Zen 5 and Lion Cove’s much higher clock speed. With larger code footprints, Cortex X925 continues to perform well until test sizes exceed L2 capacity. Compared to X925, AMD’s Zen 5 relies on its op cache to deliver high throughput for a single thread.
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