Improving Runtime Efficiency in Emulation Models of Server IPs
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Abstract
This project explores improving runtime efficiency in emulation models of server Intellectual
Properties (IPs) for modern Very Large Scale Integration (VLSI) design. Emulation involves
mimicking functionality and behavior of real-time hardware systems, operating significantly
faster than simulation at clock frequencies of several GHz. This enables execution of
extensive test cases in reduced time, uncovering deep corner-case bugs that simulation
typically fails to detect. Since emulation utilizes the same Register Transfer Level (RTL)
code deployed on actual silicon, comprehensive bug elimination becomes critical for server
IP quality.
The primary objective is improving runtime efficiency of emulation models by optimizing
total time spent by software and hardware components during emulation runs to achieve
better resource utilization. The secondary objective focuses on developing Python-based
automation scripts to reduce manual effort during validation and improve overall workflow
efficiency. The work addresses challenges posed by high costs and limited availability of
emulation platforms through systematic optimization of testbench and software components
in collaboration with Ultra eXtensible Interconnect Verification Intellectual Property teams.
Through systematic optimization phases spanning multiple development cycles, progressive
improvements were achieved using data-driven analysis and targeted enhancement strategies.
A comprehensive five-component automation validation framework was developed
encompassing hardware configuration parsing, memory region analysis, test configuration
generation, workflow coordination, and parallel execution management. This approach
resulted in a remarkable 41% reduction in runtime, substantially exceeding the initial target
of 30% improvement, while establishing scalable automation methodologies that transform
validation preparation from manual processes into systematic, repeatable workflows for
server IP validation.
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