I received my Diploma and Ph.D. degree in Electrical and Computer Engineering from the Microprocessors and Digital Systems Laboratory of the National Technical University of Athens, Greece in 2016 and 2023, respectively. I am currently a Postdoctoral Researcher in the same institution. My research activity lies in the field of computer systems, hardware-software co-design, heterogeneous computing and hardware acceleration. I am particularly interested in leveraging these principles for the computational and architectural optimization of genome analysis applications.
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- Vasileios Tsoutsouras ,
- Dimitra Azariadi ,
- Konstantina Koliogeorgi ,
- Sotirios Xydis and
- Dimitrios Soudris
“Software Design and Optimization of ECG Signal Analysis and Diagnosis for Embedded IoT Devices,” in Book “Components and Services for IoT Platforms: Paving the Way for IoT Standards”
Editors Nikolaos Voros, Georgios Keramidas and Michael Hübner, Springer. DOI 10.1007/978-3-319- 42304-3_15
Book Chapters
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An Exploration Framework for Efficient High-Level Synthesis of Support Vector Machines: Case Study on ECG Arrhythmia Detection for Xilinx Zynq SoC
Journal of Signal Processing Systems, March 2017 DOI: 10.1007/s11265-017-1230-1
Journals
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- Dimosthenis Masouros ,
- Konstantina Koliogeorgi ,
- Georgios Zervakis ,
- A. Kosvyra ,
- A. Chytas ,
- Sotirios Xydis ,
- Ioanna Chouvarda and
- Dimitrios Soudris
Co-design Implications of Cost-effective On-demand Acceleration for Cloud Healthcare Analytics: The AEGLE approach
Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, DOI: 10.23919/DATE.2019.8714934 -
- Konstantina Koliogeorgi ,
- N. Voss ,
- S. Fytraki ,
- Sotirios Xydis ,
- Georgi Gaydajiev and
- Dimitrios Soudris
Dataflow acceleration of smith-waterman with traceback for high throughput next generation sequencing
Proceedings - 29th International Conference on Field-Programmable Logic and Applications, FPL 2019, DOI: 10.1109/FPL.2019.00021 -
Exploration of GPU sharing policies under GEMM workloads
in Proceedings of International Workshop on Software and Compilers for Embedded Systems (SCOPES) 2020 -
- Konstantina Koliogeorgi ,
- Dimosthenis Masouros ,
- Georgios Zervakis ,
- Sotirios Xydis ,
- Tobias Becker ,
- Georgi Gaydajiev and
- Dimitrios Soudris
AEGLE’s Cloud Infrastructure for Resource Monitoring and Containerized Accelerated Analytics
in IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2017 DOI: 10.1109/ISVLSI.2017.70
Conferences
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HLS code transformation strategies and directives exploration for FPGA accelerated ECG analysis
in 10th HiPEAC Workshop on Reconfigurable Computing, January 19th, 2016, Prague
Workshops
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Hardware-Software Acceleration Approaches for Genome Analysis
Academic Advisors: Dimitrios Soudris , Onur Mutlu and Konstantina KoliogeorgiBrief: PDF -
Accelerating NGS genomic pipelines leveraging Heterogeneous Computing and Serverless Computing Architectures
Academic Advisors: Konstantina Koliogeorgi , Achilleas Tzenetopoulos , Dimosthenis Masouros , Sotirios Xydis and Dimitrios SoudrisBrief: PDF -
Developing a framework that automatically produces OpenCL accelerator description from CNN model specification
Brief: PDF -
Building optimized FPGA accelerators for CNN prediction and comparison with GPU accelerators
Brief: PDF -
Dataflow Acceleration Of Genome Analysis Workflows For Big Data Applications Running On A Cloud Infrastructure With Heterogeneous Architecture
Brief: PDF
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Hardware-Software Acceleration Approaches for Genome Analysis
Academic Advisors: Dimitrios Soudris , Onur Mutlu and Konstantina KoliogeorgiBrief: PDF -
Accelerating NGS genomic pipelines leveraging Heterogeneous Computing and Serverless Computing Architectures
Academic Advisors: Konstantina Koliogeorgi , Achilleas Tzenetopoulos , Dimosthenis Masouros , Sotirios Xydis and Dimitrios SoudrisBrief: PDF -
Developing a framework that automatically produces OpenCL accelerator description from CNN model specification
Brief: PDF -
Building optimized FPGA accelerators for CNN prediction and comparison with GPU accelerators
Brief: PDF -
Dataflow Acceleration Of Genome Analysis Workflows For Big Data Applications Running On A Cloud Infrastructure With Heterogeneous Architecture
Brief: PDF