A Phoronix review published on May 29, 2026, demonstrates that cache-aware scheduling yields significant performance improvements for AMD Zen 5 processors when running PostgreSQL and Valkey workloads. The testing shows double-digit percentage gains in throughput and latency for these database and key-value store applications. The results highlight the importance of scheduler optimizations for modern multi-CCD chiplet architectures.
phoronix tested cache-aware scheduling on amd zen 5 and found solid gains for postgres and valkey — think double-digit percent improvements in throughput and latency. it's all about making the scheduler smarter about which cores talk to which cache.
This benchmark underscores a growing trend: as CPU core counts and chiplet designs proliferate, software-level scheduling optimizations become critical for extracting full hardware performance. For database and caching workloads that are sensitive to memory latency, cache-aware scheduling can deliver meaningful real-world speedups without hardware changes. The findings are particularly relevant for cloud providers and enterprises running large-scale PostgreSQL or Valkey deployments on AMD EPYC processors.
as cpus get more cores and chiplets, the scheduler matters more than ever. this phoronix test shows that a smarter scheduler can give you free speed on postgres and valkey — no new hardware needed. big deal for anyone running databases in the cloud or on epyc servers.
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