Parallel Computing | Faculty of Technical Sciences

Subject: Parallel Computing (17.IFE222)

Native organizations units: Chair of Applied Computer Science

Type of studies	Title
Undergraduate Academic Studies	Information Engineering (Year: 3, Semester: Summer)

General information:

Category	Professional-applicative
Scientific or art field	Applied Computer Science and Informatics
ECTS	4

Understanding of models and concepts of contemporary parallel computer architectures and systems. Learning techniques and methods for their efficient programing. Acquiring fundamental knowledge about possibilities for application of parallel computing in data science.

Students acquire fundamental knowledge about architectures and programing models of parallel computer systems, as well as languages used for their programing. Acquired knowledge is applicable in practice and in advanced courses at higher years of undergraduate studies and on master studies.

Introduction. Models of parallel systems and algorithms. Complexity analysis of parallel algorithms. Design of parallel algorithms. Parallel computer architectures and systems. Parallel programming design patterns (finding parallelism, algorithm structure, supporting structures, communication patterns). Parallel programming models (OpenMP, Cilk, TBB, CUDA, OpenCL, OpenACC). Parallel programming tools. Applications of parallel computing in scientific computing and data science.

Teaching is performed through lessons, oral and computer exercises (in the computer classroom), as well as consultations. Through the teaching process, students are constantly motivated to an intensive discussion, problem oriented reasoning, independent study work and active participation in the whole lecturing process. The prerequisite to enter final exam is to complete all the pre-exam assignments by earning at least 30 points.

Authors	Title	Year	Publisher	Language
Pacheco, P.S.	An Introduction to Parallel Programming	2011	Morgan Kaufmann, Burlington	English
McCool, M., Reinders, J., Robison, A.	Structured Parallel Programming: Patterns for Efficient Computation	2012	Morgan Kaufmann	English
Cheng, J., Grossman, M., McKercher, T.	Professional CUDA C Programming	2014	Wrox Press	English