Συντάχθηκε 04-11-2013 10:01
από Eleni Stamataki
Email συντάκτη: estamataki<στο>tuc.gr
Ενημερώθηκε:
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Ιδιότητα: σύνταξη/αποχώρηση υπάλληλος.
ΠΟΛΥΤΕΧΝΕΙΟ ΚΡΗΤΗΣ
Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών
Πρόγραμμα Προπτυχιακών Σπουδών
ΠΑΡΟΥΣΙΑΣΗ ΔΙΔΑΚΤΟΡΙΚΗΣ ΔΙΑΤΡΙΒΗΣ
ΚΟΡΝΑΡΟΣ ΓΕΩΡΓΙΟΣ
με θέμα
Real-time ASIC Monitoring
for System-level Power and Thermal Management
Δευτέρα 4 Νοεμβρίου 2013, 15.00 μ.μ
Αίθουσα Συνεδριάσεων Σχολής ΗΜΜΥ
Κτίριο Επιστημών, Πολυτεχνειούπολη
Επταμελής Εξεταστική Επιτροπή
Καθηγητής Πνευματικάτος Δ., (Επιβλέπων), Πολυτεχνείο Κρήτης
Καθηγητής Δόλλας Α., Πολυτεχνείο Κρήτης
Αν. Καθηγητής Παπαευσταθίου Ι., Πολυτεχνείο Κρήτης
Αν. Καθηγητής Μπέλας Ν., Πανεπιστήμιο Θεσσαλίας
Καθηγητής Σταμούλης Γ., Πανεπιστήμιο Θεσσαλίας
Επ. Καθηγητής Σούντρης Δ., Εθνικό Μετσόβιο Πολυτεχνείο
Καθηγητής Αλεξίου Γ., Πανεπιστήμιο Πατρών
Abstract
RUN-TIME MONITORING of Systems-on-Chip offers an alternative to today’s largely ad hoc, design-time validation methodologies to estimate and extract the highest performance of the system across a wide spectrum of design corners and applications domains under specific power and temperature constraints. The diversity of designs ranging from conventional multiprocessor machines to designs that consist of a “sea” of programmable arithmetic logic units or other specialized custom units present a dramatically evolving design space that validation methods cannot cover in a conventional manner. New run-time monitoring techniques are increasingly employed to characterize and assist in improving the performance and the energy consuming behavior of such systems.
The developed methodology in this dissertation using novel designed hardware primitives shows that detailed analysis and characterization of the different interacting components that dynamically influence the performance and power consumption of SoC is feasible. In particular, hardware monitoring structures have allowed to the upper management software layer to obtain feedback from the hardware design and better understand and deal with the predominant symptoms of inefficiencies.
This becomes especially true today, in the presence of multi- and many- core SoCs, of technological process variability and workload variations caused by the non-deterministic nature of applications.
Contrasted with previous solutions that tend to define at design-time a static and finite set of configurations for a system, our hardware monitoring agents offer run-time assistance to find and exploit optimal ways to manage resources and improve the system’s behavior.
Various microarchitecture alternatives are described for run-time monitoring and management of network-on-chip based systems. High-speed and energy efficient circuit techniques are deployed for monitoring agents that reside at critical points inside chips, especially at interfaces; these monitoring circuits can be configured dynamically and communicate computed statistics to centralized or distributed hardware monitor managers of different functionality and complexity. The presented results of an implementation expose the usability properties of monitoring and provide guidelines for system-level designers, proving the need for flexible and at the same time efficient filters for run-time monitoring inside complex NoC-based SoCs.
This work should lay the foundation for further research in the domain of intelligent system monitoring, where a harmonized synergistic operation between the hardware monitoring subsystem and the applications allow for optimized performance while respecting chip’s energy or thermal constraints.
