滚动轮询速率：SPEC CPU的标准异构吞吐量
Rolling Round-Robin Rate: Standard Heterogeneous Throughput for SPEC CPU
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中文总结 AI 辅助
本文介绍SPEC CPU 2026的滚动轮询速率（RRR）方法，利用现有速率套件生成确定性异构工作负载，并提出类似SPEC的评分模型，以保留传统吞吐量测量并揭示变异性与干扰信息。
中文摘要 AI 辅助
SPEC CPU长期以来为比较处理器、编译器、内存系统和平台性能提供了共同的基础。其多副本SPECrate模式通过同时运行同一基准的多个副本来测量同构吞吐量。该模式仍然有价值，但现代云和服务器系统通常运行异构作业集合，这些作业的交互受共享缓存、内存带宽、电源管理、操作系统调度和嘈杂邻居的影响。SPEC CPU 2026引入了滚动轮询速率（RRR），一种展览运行风格，利用现有的速率套件生成确定性的异构多程序工作负载。本文描述了RRR作为一种基准测试方法论，并为未来RRR报告提出了一种类似SPEC的评分模型：根据每副本比率计算每个基准的平均吞吐量和变异系数，计算套件中每个副本的SPEC风格几何平均值，并对该副本几何平均值的总体进行平均，以形成具有自身变异系数的套件分数。因此，RRR保留了熟悉的SPEC吞吐量传统，同时揭示了关于变异性、干扰和异构系统行为的更丰富信息。
英文摘要
SPEC CPU has long provided a common foundation for comparing processor, compiler, memory-system, and platform performance. Its multi-copy SPECrate mode measures homogeneous throughput by running many copies of the same benchmark at once. That mode remains valuable, but modern cloud and server systems commonly run heterogeneous collections of jobs whose interactions are shaped by shared caches, memory bandwidth, power management, operating-system scheduling, and noisy neighbors. SPEC CPU 2026 introduces Rolling Round-Robin Rate (RRR), an exhibition run style that uses the existing rate suites to generate deterministic heterogeneous multiprogrammed workloads. This paper describes RRR as a benchmark methodology and proposes a SPEC-like scoring model for future RRR reporting: compute per-benchmark average throughput and coefficient of variation from per-copy ratios, compute a SPEC-style geometric mean for each copy across the suite, and average that population of copy geomeans to form a suite score with its own coefficient of variation. RRR therefore preserves the familiar SPEC throughput tradition while exposing richer information about variability, interference, and heterogeneous-system behavior.
发表机构
- Ampere Computing（安谋科技）
- VRULL
机构由 AI 辅助整理，请以论文原文为准。
