performance analysis

Generative AI for Performance Engineering: Tailoring Llama-3 for Bottleneck Classification and Optimization Recommendations

This paper presents a novel approach to software performance analysis by integrating traditional profiling techniques with a fine-tuned large language model (LLM), based on the Llama-3 model.  Addressing the challenges of manual profiling – such as overwhelming data volumes and the high expertise required to interpret performance metrics – the study introduces a lightweight AI-powered profiler trained on structured JSON-based profiling logs and code samples.  The model is fine-tuned using parameter-efficient methods (LoRA and QLoRA) to classify performance bottlenecks (

Effectiveness of the Leading Companies in the Ukrainian Gambling Market

The presented study examines the effectiveness of key leaders in Ukraine’s gambling market in 2024-2025. The research analyzes the structure and volume of tax revenues generated by the gambling industry for the state budget from 2021 to early 2025. The performance of the ten most profitable gam- bling companies in Ukraine is assessed. The analysis is conducted using Kotter’s innovation implementa- tion model, which allows for an evaluation of the stages of gambling legalization.

A Computational Model for the Prediction of Net Power in Proton Exchange Membrane Fuel Cells

This paper aims to quantify the rate of improvement of electrical energy due to oxygen enrichment. For a specific membrane effective area (MEA), the flow field (FF) designer is always ready to design the FF to maximize the amount of oxygen in all areas of the catalyst layer (CL). Using the guidelines in this paper, FF designers, without cumulative computational fluid dynamics (CFD) calculations, can predict the rate of electrical energy gain due to 1 % enrichment in the amount of oxygen present in the CL. A 3D CFD tool was used to answer this question.