Parallel Systems

Semester:
5th
Course Type:
Elective Specialization courses (ΠΜ-E)
Track:
CS (Computer Science), CΕT (Computer Engineering and Telecoms)
Code:
ΘΠ04
ECTS:
6
TEACHING HOURS per week
Theory:
3
Seminar:
1
Laboratory:
-
Specializations
Foundations of Computer Science (S1):
-
Data and Knowledge Management (S2):
-
Software (S3):
B Βασικό
Hardware and Architecture (S4):
B Βασικό
Communications and Networking (S5):
-
Signal and Information Processing (S6):
-
Related Courses
Prerequisites:
-
Expected Prior Knowledge:
Detailed Description
DIT_PPS_ΘΠ04-ParallelSystems.pdf
Course Content
Covers the spectrum parallel architectures, parallel APIs, parallel application development and evaluation. Presents Flynn Classification and elaboration on MIMD architectures shared (UMA, NUMA, cc-NUMA) and distributed memory. GPUs as HPC. Measures of speed-up, efficiency, cost, Amdahl and Gustafson Laws. Foster design methodology, data and domain parallelism. Parallel programming APIs MPI, openMp, CUDA and hybrid combinations. Parallel Programming techniques for HPC applications. Profiling tools for evaluating and improving performance.
LITERATURE AND STUDY MATERIALS - READING LIST

Basic Book Peter S. Pacheco, Introduction to Parallel Programming (Greek edition)
Supportive Book Drimakopoulos V parallel systems and programming (on-line) http://hdl.handle.net/11419/3209
Notes, presentaions, tutorials on Parallel programming and tools

e-Class link
ECLASS

Διδάσκων