3 papers
cs.DC2025
Profiling and optimization of multi-card GPU machine learning jobs
Marcin Lawenda, Kyrylo Khloponin, Krzesimir Samborski +1
The effectiveness and efficiency of machine learning methodologies are crucial, especially with respect to the quality of results and computational cost. This paper discusses diffe…
cs.PF2025
Evaluating the impact of the L3 cache size of AMD EPYC CPUs on the performance of CFD applications
Marcin Lawenda, Åukasz Szustak, László Környei +2
In this work, the authors focus on assessing the impact of the AMD EPYC processor architecture on the performance of CFD applications. Several generations of architectures were ana…
cs.DC2025
Efficient allocation of image recognition and LLM tasks on multi-GPU system
Marcin Lawenda, Krzesimir Samborski, Kyrylo Khloponin +1
This work is concerned with the evaluation of the performance of parallelization of learning and tuning processes for image classification and large language models. For machine le…