Research output per year
Research output per year
Personal profile
Overview
I am a PhD student in the School of Computer Science at the University of Manchester and a member of the Advanced Processor Technologies research group. I am working under the supervision of Dr. Christos Kotselidis and Dr. Mikel Lujan. My research focuses on accelerating Big Data stacks by using heterogeneous hardware resources in a cost and energy efficient way.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Towards GPU Accelerated FHE Computations
Papadakis, O., Papadimitriou, M., Stratikopoulos, A., Xekalaki, M., Fumero Alfonso, J., Foutris, N. & Kotselidis, C.-E., 15 Jul 2024, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
Open AccessFile166 Downloads (Pure) -
Cross-Language Interoperability of Heterogeneous Code
Stratikopoulos, A., Blanaru, F., Fumero Alfonso, J., Xekalaki, M., Papadakis, O. & Kotselidis, C.-E., 5 Feb 2023, (Accepted/In press) p. 1-5. 5 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile103 Downloads (Pure) -
Enabling Transparent Acceleration of Big Data Frameworks Using Heterogeneous Hardware
Xekalaki, M., Fumero Alfonso, J., Stratikopoulos, A., Doka, K., Katsakioris, C., Bitsakos, C., Koziris, N. & Kotselidis, C.-E., 2022, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
File545 Downloads (Pure) -
Dynamic Application Reconfiguration on Heterogeneous Hardware
Fumero, J., Papadimitriou, M., Zakkak, F., Xekalaki, M., Clarkson, J. & Kotselidis, C., 14 Apr 2019, (Accepted/In press) 5th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE’19) . p. 165 178 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Challenges and proposals for enabling dynamic heterogeneous execution of Big Data frameworks
Xekalaki, M., Fumero Alfonso, J. & Kotselidis, C.-E., 31 Oct 2018, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
File331 Downloads (Pure)
Thesis
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Challenges and Techniques for Transparent Acceleration of Unmodified Big Data Applications
Xekalaki, M. (Author), Luján, M. (Supervisor) & Kotselidis, C.-E. (Supervisor), 31 Dec 2022Student thesis: Phd
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