ScaLab @ KTH

Scalable Computing Research Group

People Research Projects Events


Ivy Peng, Ph.D
Assistant Professor
Department of Computer Science
EECS, KTH


I lead the Scalable Computing Laboratory (ScaLab) at KTH, Sweden. My research interests revolve around the scalability and efficiency of future computing systems, including computer architecture, system software, and applications. Previously, I was a Computer Scientist at Parallel System Group at Lawrence Livermore National Laboratory, California, USA.

Current Research Topics:

Recent Professional Services:



Jacob Wahlgren
Doctoral Student
Department of Computer Science
EECS, KTH
Research Interests:
Heterogeneous Computing, High-Performance Computing
About me:
My current research revolves around next-generation memory systems in high-performance computing. Disaggregated memory promises to increase the efficiency of cloud data centers by using rack-scale memory pools. We aim to answer questions such as: How can we utilize memory disaggregation in supercomputing enviroments? How will memory disaggregation impact the performance of scientific workloads such as computational physics? What new acceleration techniques are enabled by disaggregated systems?


Daniel Araújo de Medeiros
Doctoral Student
Department of Computer Science
EECS, KTH
Research Interests:
Parallel I/O, Converged Cloud and HPC Computing
About me:
I'm Daniel, a doctoral student at KTH. My field of study is High Performance Computing and, as implied, I deal with a lot of problems in relation to parallel and distributed systems. I research on technologies that are used in warehouse-scale computers ("datacenters") and could be used in traditional supercomputers on academic settings. Such technologies ranges from the usage of kubernetes and containers to object storage systems. Furthemore, I have strong interests in non-traditional computer architectures and stuff like binary translation/emulation.


Gabin Schieffer
Doctoral Student
Department of Computer Science
EECS, KTH
Research Interests:
Heterogeneous Computing, Parallel Algorithms, GPU
About me:
Bonjour! My research focus on GPU acceleration of scientific applications. I am also interested in distributed computing, in both HPC clusters and cloud computing environments. My current work aims at enabling the use of novel GPU features to accelerate typical high-performance computing workloads, such as molecular docking applications.


Jennifer Faj
Doctoral Student
Department of Computer Science
EECS, KTH
Research Interests:
Heterogeneous Computing, Parallel Algorithms, FPGA


About me:


Louise Tidestav
MS Student
Department of Computer Science
EECS, KTH
Project:
A Domain Specific Language for Geospatial GPU Calculations




Philip Salqvist
MS Student
Department of Computer Science
EECS, KTH
Project:
A comparative study of the Data Warehouse and Data Lakehouse architecture




Federico Ruilova
MS Student
ICT Innovation – Cloud and Network Infrastructures
EECS, KTH
Project:
Carbon-aware technologies for high-performance computing in distributed environments


About me:


Jakob Arvidsson
MS Student
Department of Computer Science
EECS, KTH
Project:
Simulated Molecular Adder Circuits on a Surface of DNA -- Studying the scalability of surface chemical reaction network digital logic circuits