2 papers
cs.SD2026
Linear Complexity Self-Supervised Learning for Music Understanding with Random Quantizer
Petros Vavaroutsos, Theodoros Palamas, Pantelis Vikatos
In recent years, foundation models have become very popular due to their exceptional performance, mainly in natural language (NLP) tasks where they were first introduced. These mod…
cs.DC2025
SLO-aware GPU Frequency Scaling for Energy Efficient LLM Inference Serving
Andreas Kosmas Kakolyris, Dimosthenis Masouros, Petros Vavaroutsos +2
As Large Language Models (LLMs) gain traction, their reliance on power-hungry GPUs places ever-increasing energy demands, raising environmental and monetary concerns. Inference dom…