A systematic benchmark evaluating threading and multiprocessing strategies in the pydre analytics pipeline, with a focus on workload-dependent performance and practical default execution strategies.
cpufreqizer recommends optimal CPU scaling governors and kernel params based on workload, balancing power and performance.
A spark script for processing (large-scale) file system snapshot data.
An AI Analytics Dashboard for research labs analytics, collaboration, and email workflow using React and FastAPI.
π Benchmark parallel execution strategies in the pydre analytics pipeline to identify the best approach for diverse workload scenarios.
βοΈ Optimize CPU performance and efficiency by selecting the best scaling policies for your workload with CPUFreqRizer, your Python-based solution.
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