Konstantina Koliogeorgi
Konstantina Koliogeorgi is a PhD student in Microprocessors and Digital Systems Lab of the School of Electrical and Computer Engineering of National Technical University of Athens. Her research interests include accelerator design for highly parallel, reconfigurable architectures and design space exploration utilizing high level synthesis tools. An important part of her research so far, has focused on building hardware accelerators for effective integration within real systems and thus effective co-design. In the past, she has worked as an engineer in H2020 AEGLE project with key role the development of hardware accelerators on Maxeler’s Dataflow Engines. Currently, she is working on the H2020 “EVOLVE: Leading the Big Data revolution”, where she will examine porting OpenCL accelerators on FPGAs with popular FPGA toolflows.
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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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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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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