{"id":281940,"date":"2026-06-25T12:22:00","date_gmt":"2026-06-25T16:22:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/06\/25\/cache-aware-scheduling-the-linux-patch-aiming-for-360-performance-on-mysql\/"},"modified":"2026-06-25T18:35:36","modified_gmt":"2026-06-25T22:35:36","slug":"cache-aware-scheduling-the-linux-patch-aiming-for-360-performance-on-mysql","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/06\/25\/cache-aware-scheduling-the-linux-patch-aiming-for-360-performance-on-mysql\/","title":{"rendered":"Cache-aware scheduling – The Linux patch aiming for +360% performance on MySQL"},"content":{"rendered":"

Cache-aware scheduling – The Linux patch aiming for +360% performance on MySQL<\/a><\/p>\n

https:\/\/korben.info\/en\/cache-aware-scheduling-linux-patch-mysql-performance.html<\/a><\/p>\n

Publish Date: 2026-06-25 12:22:00<\/a><\/p>\n

Source Domain: korben.info<\/a><\/p>\n

The
\nLinux kernel scheduler [FR]<\/span>
\nhas just received a proposed update that delivers some pretty spectacular performance gains on certain workloads. Hygon, the Chinese chip maker that manufactures x86 processors under license from AMD’s Zen architecture, has sent a series of patches to extend cache-aware scheduling, and the announced numbers climb as high as 360% improvement in transactions per second on MySQL.<\/p>\n

To understand what’s going on, we need to go back to basic
\ncache-aware scheduling
\n, the famous CAS, designed by Intel engineers (Tim Chen, Chen Yu, and Peter Zijlstra) and just merged into Linux 7.2. On a modern CPU with multiple last-level caches, the famous LLC, the scheduler tries to group tasks that share data onto the same cache domain. The result: fewer cache misses, less data bouncing between caches, and therefore better performance without touching the hardware – just by placing tasks more intelligently.<\/p>\n

The catch is that this basic CAS only thinks in terms of a single LLC. As long as your workload fits within one cache domain, great. But the moment the workload exceeds what a single shared cache can hold, the scheduler has no way to group tasks at the level above: they spread across cores that no longer share the same cache, and all locality goes out the window. That’s a problem for Hygon, whose recent chips aren’t a single monolithic block but an assembly of chiplets (the C86-7490 brings together four of them), with multiple shared caches scattered across the die.<\/p>\n

Hence the idea behind these patches, which enable hierarchical grouping and offer the ability to expand or contract dynamically depending on workload size and the machine’s topology.<\/p>\n

Hygon is therefore claiming up to +49% on
\nHackbench
\n, +20% on
\nSchbench
\n(no, not the rapper), and that famous +360% on MySQL!! That’s insane!<\/p>\n

Now, before you sell your PC to grab a Hygon-powered one, hold on! These numbers are “up to” figures, measured on multi-domain topologies – meaning typically large servers…<\/p>\n

Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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