Christoffer Åleskog

Doctoral student

Department of Computer Science, Room J3116

https://caleskog.github.io/

Biography

Christoffer Åleskog is pursuing his Ph.D. degree in the Department of Computer Science at Blekinge Institute of Technology. He received his B.S and M.S degrees in Computer Science from Blekinge Institute of Technology in 2019 and 2021, respectively. His research interest focuses on deep neural networks, domain-specific hardware accelerators, and optimizing accelerators for a broader class of problems. He is in the General-Purpose AI Computing – GPAI project, funded by ELLIIT – Excellence Center at Linköping – Lund in Information Technology, 2021 – 2025.

Projects & Publications

Recent publications
Christoffer Åleskog, Håkan Grahn, Anton Borg, "A Comparative Study on Simulation Frameworks for AI Accelerator Evaluation", IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2024, Institute of Electrical and Electronics Engineers (IEEE), 2024
Christoffer Åleskog, Vishnu Manasa Devagiri, Veselka Boeva, "A Graph-based Multi-view Clustering Approach for Continuous Pattern Mining", Studies in Big Data, ISSN 2197-6503, EISSN 2197-6511, EISSN 106, Recent Advancements in Multi-View Data Analytics, Springer Science+Business Media B.V., 2022
Christoffer Åleskog, Håkan Grahn, Anton Borg, "Recent Developments in Low-Power AI Accelerators", Algorithms, EISSN 1999-4893, Vol. 15, nr 11, MDPI, 2022