HIGH PERFORMANCE COMPUTER SYSTEMS:ARCHITECTURE AND PROGRAMMING

Course Information
TitleΣΥΣΤΗΜΑΤΑ ΥΨΗΛΩΝ ΕΠΙΔΟΣΕΩΝ:ΑΡΧΙΤΕΚΤΟΝΙΚΗ ΚΑΙ ΠΡΟΓΡΑΜΜΑΤΙΣΜΟΣ / HIGH PERFORMANCE COMPUTER SYSTEMS:ARCHITECTURE AND PROGRAMMING
CodeNA-20
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorKonstantinos Margaritis
CommonNo
StatusActive
Course ID600000821
Class Information
Academic Year2017 – 2018
Class PeriodSpring
Instructors from Other Categories
  • Konstantinos Margaritis
Weekly Hours3
Class ID
600111854
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Prerequisites
General Prerequisites
Computer Architecture, Operating Systems, Computer Programming
Learning Outcomes
Assess the performance of a computer system based on its architecture. Program for high-performance modern computer systems.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Generate new research ideas
Course Content (Syllabus)
Computer Systems Performance Analysis Memory Hierarchy Instruction Level Parallelism Data Level Parallelism Thread Level Parallelism Computer Clusters and Computer Warehouses
Keywords
Computer Architecture, Parallel Computing
Educational Material Types
  • Slide presentations
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures
Reading Assigment
Written assigments
Exams
Total
Student Assessment
Description
Written examination 70% Written assignment with public oral examination (presenation) 30%
Student Assessment methods
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • Performance / Staging (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Αρχιτεκτονική Υπολογιστών Ποσοτική Προσέγγιση 4η εκδ Κωδικός Βιβλίου στον Εύδοξο: 18548925
Additional bibliography for study
Computer Architecture a Quntitative Approach 5th ed Elsevier Publishers (Morgan Kauffman)
Last Update
13-04-2016