MICROLAB Microprocessors Laboratory
Master / Diploma Theses
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Available (2020-2021)
Accelerating NGS genomic pipelines leveraging Heterogeneous Computing and Serverless Computing Architectures
Academic Advisors:
Konstantina Koliogeorgi ,
Achilleas Tzenetopoulos ,
Dimosthenis Masouros ,
Sotirios Xydis and
Dimitrios Soudris
Brief: PDF
Applications of Machine Learning in Green Computing AKA Help Save the World
Academic Advisors:
Christos Lamprakos and
Dimitrios Soudris
Brief: PDF
Automated Fine-Grained Resource Management on Serverless Computing Architectures
Academic Advisors:
Achilleas Tzenetopoulos ,
Dimosthenis Masouros ,
Sotirios Xydis and
Dimitrios Soudris
Brief: PDF
Building optimized FPGA accelerators for CNN prediction and comparison with GPU accelerators
Brief: PDF
DEEP VOCAL AUTOTUNER: Deep Learning-based pitch correction for real-time singing performances
Brief: PDF
Developing a framework that automatically produces OpenCL accelerator description from CNN model specification
Brief: PDF
From Edge to Cloud: Dynamic Workload Placement on Edge – Cloud Platforms
Academic Advisors:
Achilleas Tzenetopoulos ,
Manolis Katsaragakis ,
Sotirios Xydis and
Dimitrios Soudris
Brief: PDF
High Performance Computer Systems in In Silico Medicine
Academic Advisors:
Dimitrios Soudris , Georgios Stamatakos and
Dimosthenis Masouros
In cooperation with In Silico Oncology and In Silico Medicine Group, ICCS, SECE, NTUA
Brief: PDF
Ανάπυξη και υλοποίηση αλγορίθμου τεχνητής νοημοσύνης για την πρόβλεψη της παραγωγής σε Φωτοβολταικο Πάρκο(Φ/Β) χρησιμοποιώντας την τεχνική των kNN (k-nearest neighbors)
Academic Advisors:
Grigoris Proiskos and
Dimitrios Soudris
Brief: PDF
Ανάπυξη και υλοποίηση αλγορίθμου τεχνητής νοημοσύνης για την πρόβλεψη της παραγωγής σε Φωτοβολταικο Πάρκο(Φ/Β) χρησιμοποιώντας την τεχνική των Αυτοπαλίνδρομων μοντέλων (autoregressive models)
Academic Advisors:
Grigoris Proiskos and
Dimitrios Soudris
Brief: PDF
Available (2019-2020)
Adaptive resource allocation for clustered asymmetric many-core systems
Academic Advisors:
Dimitrios Soudris and
Iraklis Anagnostopoulos
In association with Southern Illinois University
Brief: PDF
Analysis, Optimizations and acceleration of state-of-art simulation models of biological neural networks
Brief: PDF
Application of Approximate Computing Techniques on the NVIDIA Deep Learning Accelerator (NVDLA)
Brief: PDF
Approximate computing-aware system design and management
Academic Advisors:
Dimitrios Soudris and
Iraklis Anagnostopoulos
In association with Southern Illinois University
Brief: PDF
Constrained design of clustered asymmetric many-core systems
Academic Advisors:
Dimitrios Soudris and
Iraklis Anagnostopoulos
In association with Southern Illinois University
Brief: PDF
Constrained design of heterogeneous many-core systems
Academic Advisors:
Dimitrios Soudris and
Iraklis Anagnostopoulos
In association with Southern Illinois University
Brief: PDF
Customized Redundancy Schemes for Improved Fault-Tolerance of FPGAs in Space Applications
Brief: PDF
Dataflow Acceleration Of Genome Analysis Workflows For Big Data Applications Running On A Cloud Infrastructure With Heterogeneous Architecture
Brief: PDF
Development of an image classification algorithm to Spiking Neural Networks for SpiNNaker
Academic Advisors:
Dimitrios Soudris and
Iraklis Anagnostopoulos
In association with Southern Illinois University
Brief: PDF
Development of scalable control techniques for resource management of large scale asymmetric many-core systems
Academic Advisors:
Dimitrios Soudris and
Iraklis Anagnostopoulos
In association with Southern Illinois University
Brief: PDF
Drone-based acceleration of Internet-of-Video-Things (IoVT)
Academic Advisors:
Dimitrios Soudris and
Iraklis Anagnostopoulos
In association with Southern Illinois University
Brief: PDF
Efficient deployment of Convolutional Neural Networks in low power embedded architectures
Academic Advisors:
Dimitrios Soudris and
Lazaros Papadopoulos
Brief: PDF
Exploring multi-application execution on integrated CPU-GPU heterogeneous many-core systems
Academic Advisors:
Dimitrios Soudris and
Iraklis Anagnostopoulos
In association with Southern Illinois University
Brief: PDF
Hardware Acceleration methods for the latest Deep Learning applications using GANs
Academic Advisors:
Dimitrios Soudris and
Dimitris Danopoulos
Brief: PDF
Implementation of Approximate Convolutional Filters and Floating-Point Components for CNN Applications
Academic Advisors:
Kiamal Pekmestzi and
Vasileios Leon
Brief: PDF
Improvement of sky-imaging PV production forecasts with application of deep learning
Academic Advisors:
Dimitrios Soudris ,
Dimitrios Anagnostos ,
Dimitris Danopoulos and
Ioannis Oroutzoglou
Brief: PDF
Python Module for Brain Simulation
Academic Advisors:
Harry Sidiropoulos and
Dimitrios Soudris
Brief: PDF
Reconfiguration of FPGAs for helping Internet-of-Video-Things (IoVT)
Academic Advisors:
Dimitrios Soudris and
Iraklis Anagnostopoulos
In association with Southern Illinois University
Brief: PDF
Resource-centric refinement of application characterization in multi-core Platforms
Academic Advisors:
Dimitrios Soudris and
Iraklis Anagnostopoulos
In association with Southern Illinois University
Brief: PDF
Ανάπτυξη και υλοποίηση αλγορίθμου δρομολόγησης (routing) για τρισδιάστατες (3D) αρχιτεκτονικές
Brief: PDF
Ανάπτυξη και υλοποίηση αλγορίθμου τμηματοποίησης (partitioning) για τρισδιάστατες (3D) αρχιτεκτονικές
Brief: PDF
Ανάπτυξη Μηχανισμών Ανίχνευσης (Monitors) Καταπόνισης Υλικού και Διασφάλισης της Αξιόπιστης Λειτουργίας
Brief: PDF
Ανάπτυξη Τεχνικών Δυναμικης Εκπαίδευσης Νευρωνικών Δικτυων Σε Πραγματικο Χρονο Με αξιοποίηση υπηρεσιών Cloud
Brief: PDF
Ενσωματωμένοι επεξεργαστές για Κέντρα Δεδομένων Χαμηλής κατανάλωσης ενέργειας (Energy-efficient data centers based on embedded processors)
Brief: PDF
Επιταχυντές Υλικού για ενσωματωμένα συστήματα (Hardware accelerators for embedded systems)
Brief: PDF
Σχεδιασμός και υλοποίηση σε FPGA πομποδέκτη υψηλής ταχύτητας για οπτικά δίκτυα τηλεπικοινωνιών
Brief: PDF