Problem
Research questions and friction points this paper is trying to address.
Performance Verification
microarchitectural innovation
pre-silicon
AmpereOne CPU
Performance Verification of the AmpereOne CPU Core
🤖 AI Summary
本文介绍了AmpereOne CPU核心性能验证方法，通过周期精确的相关性检查、数据驱动的工作负载管理和高频回归系统等手段，确保处理器达到性能目标。
📝 Abstract
As process technology scaling slows, microarchitectural innovation has become the primary driver of performance gains, making pre-silicon Performance Verification (PV) more critical than ever. This paper presents the industrial-scale PV methodology applied across four generations of the AmpereOne custom CPU core, centered on the cycle-accurate correlation of the RTL design against a trace-driven performance model. The methodology integrates data-driven workload curation, a high-frequency daily regression system, and a unified event-stream framework for analysis. We demonstrate this methodology through case studies of the Branch Prediction Unit and L2 Prefetcher, highlighting a hierarchical strategy that first isolates individual units for focused correlation before proceeding to full-core verification. The results demonstrate that this disciplined, iterative process is indispensable for avoiding costly post-silicon bugs and ensuring complex processors meet their performance targets. We end with a look towards the future of PV in the microprocessor industry.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Performance Verification
cycle-accurate correlation
data-driven workload curation
unified event-stream framework
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