2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
Towards making the most of NLP-based device mapping optimization for OpenCL kernels
Petros Vavaroutsos, Ioannis Oroutzoglou, Dimosthenis Masouros +1
Nowadays, we are living in an era of extreme device heterogeneity. Despite the high variety of conventional CPU architectures, accelerator devices, such as GPUs and FPGAs, also app…