EASL
Efficient Architectures and Systems Lab (EASL)
We design and build computer systems for large-scale applications, such as cloud computing services, data analytics, and machine learning. We aim to improve the performance and resource efficiency of cloud computing while making it easier for users to deploy and manage their applications. Our research work spans operating systems, computer architecture, and their intersection with machine learning.
Research Focus Areas
EASL Group Members:
Faculty:
PhD Students:
- Tom Kuchler
- external page Lazar Cvetković
- external page Foteini Strati
- external page Maximilian Böther
- external page Xiaozhe Yao
- external page Mihajlo Djokic
- external page Pinghe Li, starting November 2024
Post-docs:
Masters students:
- external page Paul Elvinger
- external page Victor Vitez
- external page Jonathan Smith
- external page Alessio Russo
- external page Tobias Stocker
- external page Boyko Borisov
- external page Eric Nothum
- external page Beste Guney
- external page Hongshu (Hazel) Yan
- external page George Manos
- external page Zhendong Zhang
- external page Rongzhi Li
Bachelor students:
Visitors: