Christoffer Åleskog
Doctoral Student
Department of Computer Science
Room J3116, Karlskrona
Research domain: Computer Science
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.
Latest 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, pp. 321-328, Institute of Electrical and Electronics Engineers (IEEE), 2024
- Christoffer Åleskog, Håkan Grahn, Anton Borg, "Recent Developments in Low-Power AI Accelerators", Algorithms, EISSN 1999-4893, Vol. 15, No. 11, MDPI, 2022
- Christoffer Åleskog, Vishnu Manasa Devagiri, Veselka Boeva, "A Graph-based Multi-view Clustering Approach for Continuous Pattern Mining", Recent Advancements in Multi-View Data Analytics, ISSN 2197-6503, EISSN 2197-6511, pp. 201-237, Springer Science+Business Media B.V., 2022
Current projects
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Completed projects
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