SPEC CPU 2026在AMD EPYC 9755处理器上的性能表征
Performance Characterization of SPEC CPU 2026 on AMD EPYC 9755 Processor
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中文总结 AI 辅助
本文针对SPEC CPU 2026在AMD EPYC 9755处理器上开展微架构性能表征，采用多视角方法分析两类套件，识别三类工作负载集群，揭示规模相关效应，为相关架构研究奠定实证基础。
中文摘要 AI 辅助
SPEC CPU 2026是2017年以来行业标准CPU基准测试套件的首次重大更新。本文首次针对该新套件开展基于微架构的性能表征研究，在AMD EPYC“Zen 5”上进行，这也是首个针对该微架构的SPEC CPU表征研究。采用涵盖流水线效率、控制流行为、缓存层次压力和指令混合的多视角方法，分析SPECrate和SPECspeed两个套件。引入规模分析，对比单副本与全系统行为，揭示常规表征无法发现的系统级瓶颈。分析显示套件内存在显著行为多样性，多视角分析识别出三类不同行为集群：前端控制流主导的工作负载，侧重分支预测器吞吐量而非精度；高效率计算工作负载，在规模扩展时遭遇SMT竞争；内存带宽受限的工作负载，即便在单副本模式下L3过滤效果仍较差。仅在全系统利用率时才会出现规模相关效应，包括SMT分发竞争导致的吞吐量下降和L3容量干扰。本研究为针对下一代数据中心处理器的架构研究和工作负载驱动设计决策奠定了实证基础。
英文摘要
SPEC CPU 2026 is the first major update to the industry-standard CPU benchmark suite since 2017. This paper presents the first microarchitecture based performance characterization of the new suite, conducted on AMD EPYC "Zen 5", also the first SPEC CPU characterization study on this microarchitecture. Using a multi-lens methodology spanning pipeline efficiency, control flow behavior, cache hierarchy pressure, and instruction mix, we analyze both SPECrate and SPECspeed suites. We introduce scale analysis, comparing single-copy to full-system behavior to expose system-level bottlenecks invisible to conventional characterization. Our analysis reveals substantial behavioral diversity across the suite, and the multi-lens analysis identifies three distinct behavioral clusters: frontend control-flow-dominated workloads that stress branch predictor throughput rather than accuracy, high-efficiency compute workloads that suffer SMT contention at scale, and memory bandwidth-bound workloads with poor L3 filtering even at single-copy. Scale-dependent effects, including SMT dispatch contention causing throughput reduction and L3 capacity interference, emerge only at full system utilization. This work establishes an empirical foundation for architectural research and workload-driven design decisions targeting next-generation datacenter processors.
发表机构
- Advanced Micro Devices, Inc. (AMD)（超威半导体有限公司）
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