Εκμετάλλευση των multi-core επεξεργαστών για αριθμητικούς κώδικες περιορισμένους από μνήμη με χρήση τεχνικών prefetching

Αναγνωστοπούλου, Βλασία; Anagnostopoulou, Vlasia

dc.contributor.author	Αναγνωστοπούλου, Βλασία
dc.contributor.author	Anagnostopoulou, Vlasia
dc.date.accessioned	2025-03-27T09:13:27Z
dc.date.available	2025-03-27T09:13:27Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/61478
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.29174
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Thread level parallelism	en
dc.subject	Computational fluid dynamics	en
dc.subject	CPU	en
dc.subject	Enhancing performance	en
dc.subject	Interthread communication	en
dc.subject	Αρχιτεκτονικη υπολογιστών	el
dc.subject	Ρευστομηχανική	el
dc.subject	Αυξανόμενη παρουσίαση	el
dc.title	Εκμετάλλευση των multi-core επεξεργαστών για αριθμητικούς κώδικες περιορισμένους από μνήμη με χρήση τεχνικών prefetching	el
dc.contributor.department	Τομέας τεχνολογίας πληροφορικής και υπολογιστών	el
heal.type	bachelorThesis
heal.classification	Information computer science	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2006-12-01
heal.abstract	Numerical codes occur in almost all science and engineering disciplines; e.g., compu- tational uid dynamics take e ect on applications such as aeronautics, automotive, power generation, chemical and petrochemical process. They consist of small kernels, each carrying out a large number of Floating Point operations on proportionally big data sets. Moreover, such codes introduce signi cant portion of iterations. If we suppose that the data sets resided entirely in the main memory and every time that data were needed for computation were fetched from the main memory, then numerical codes would be confounded to very poor execution times, because of the existing barrier for quick memory accesses. Happily, memory hierarchy and optimizing techniques that can be applied to numerical codes as well have existed since a long time, bringing the execution times of numerical codes up to satisfactory levels. From the existing optimization techniques, the technique of prefetching data could be proved as particularly bene cial when speaking of numerical codes that act on large data portions, especially if a multi-core processor would be utilized as a prefetch engine. The potential of improvement of the execution times from the utilization of this technique and the further investigation of such a possible gain comprise the subject of this Thesis	el
heal.sponsor	ΕΜΠ	el
heal.advisorName	Κοζύρης, Νεκτάριος
heal.committeeMemberName	Κοζύρης, Νεκτάριος
heal.committeeMemberName	Σαγώνας, Κωνσταντίνος
heal.committeeMemberName	Παπασπύρου, Νικόλαος	el
heal.academicPublisher	Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών	el
heal.academicPublisherID	ntua
heal.numberOfPages	77 σ.
heal.fullTextAvailability	false