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Sr. Staff Performance Modeling Architect (Data Prefetcher)
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Full-time
- SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer.
- Strong object-oriented programming (OOP) skills, including encapsulation, class coherency, inheritance and polymorphism
- Familiarity with the Gamma et al Design Patterns and basic UML syntax (e.g. Observer, Composite, Adaptor, Proxy, Facade, etc.)
- Familiar with both TAGE-based and Perceptron-based branch prediction approaches, including the latest CBP and other academic research, for both direction prediction and indirect-address prediction
- Conversant in dead-block prediction and L2/L3 cache replacement policies such as LIP, BIP, DIP, and RRIP, and their interplay with prefetching schemes
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