https://dasya.itu.dk/tags/hardware-resource-consumption-estimation/ Recent content in hardware resource consumption estimation on DASYA Hugo -- gohugo.io en-us © DASYA, IT University of Copenhagen Sun, 01 May 2022 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/mlforhwutilestimation/ Sun, 01 May 2022 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/mlforhwutilestimation/ Today, there are many compute- and memory-hungry data-intensive workloads from big data analytics applications to deep learning. These workloads increasingly run on shared hardware resources, which requires building hardware resource managers that can both serve the needs of workloads and utilize hardware well. Predicting the resource utilization of applications can aid such resource managers while making scheduling decisions for those applications. In this project, we aim to investigate the effectiveness of different deep learning techniques for predicting hardware resource needs of applications.