Tencent Architect
Jul 29, 2021 · Artificial Intelligence
Performance Optimization of Advertising Coarse‑Ranking Training on the Light Framework
This article analyzes the bottlenecks of advertising coarse‑ranking training on the Light framework and presents a series of optimizations—including parallel data download, thread‑queue buffering, integer‑to‑string conversion with fmt, and zlib replacement with czlib—that together achieve up to 58% QPS improvement and notable CPU efficiency gains.
CPU/GPU efficiencyData ParallelismPerformance Optimization
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