Andrei Stroganov

Conf42 Speaker profile

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Conf42: Site Reliability Engineering (SRE) 2025

Automated Measurement and Optimization of Application Startup Time in Large-Scale Systems

Accurately measuring application startup time is a challenge in large-scale distributed systems. This talk presents an automated methodology to measure and optimize startup latency while reducing variability caused by system background processes, CPU performance scaling, and workload contention.

Andrei Stroganov

Samsung Research

...

Conf42: Cloud Native 2025

Tree Ensemble Classifiers on heterogeneous platforms: Performance & Scalability Challenges

Tree ensemble methods (Random Forest, Gradient Boosting) are widely used in ML but can be inefficient in cloud-based, multi-threaded environments due to uneven workload distribution across heterogeneous CPU cores. This talk analyzes performance trade-offs in existing ONNX-based implementations, introduces a custom C++ wrapper for optimized task scheduling, and demonstrates a 4x speedup in...

Andrei Stroganov

Samsung Research

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