Catalog Entries

Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

CSC 447 - Parallel Progg/Multic.&Cluster
This course provides an introduction to prallel programming with a focus on multicore architectures and cluster programming techniques. Topics include relevant architectural trends and aspects of multicores, writing multicore programs and extracting data parallelism using vectors and SIMD, thread-level parallelism, task-based parallelism, efficient sybchronization, program profiling, and performance tuning. Message-passing cluster-based parallel computing is also introduced. The course includes several programming assignments to provide students first-hand experience with programming, and experimentally analyzing and tuning parallel software. Course Learning Outcomes: 1) Students shall demonstrate an ability to design, analyze, and implement shared-memory programming applications on multicore systems. 2) Students shall demonstrate an ability to design, analyze, and implement message-passing programming applications on a cluster of workstations. 3) Students shall demonstrate an ability to analyze the efficiency of a given parallel algorithm. 4) Students should understand the challenges of as well as the motivations for using parallel programming. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Computer Science & Mathematics Department

CSC 447 - Parallel Progg/Multic.&Cluster

This course provides an introduction to prallel programming with a focus on multicore architectures and cluster programming techniques. Topics include relevant architectural trends and aspects of multicores, writing multicore programs and extracting data parallelism using vectors and SIMD, thread-level parallelism, task-based parallelism, efficient sybchronization, program profiling, and performance tuning. Message-passing cluster-based parallel computing is also introduced. The course includes several programming assignments to provide students first-hand experience with programming, and experimentally analyzing and tuning parallel software.

Course Learning Outcomes:
1) Students shall demonstrate an ability to design, analyze, and implement shared-memory programming applications on multicore systems.
2) Students shall demonstrate an ability to design, analyze, and implement message-passing programming applications on a cluster of workstations.
3) Students shall demonstrate an ability to analyze the efficiency of a given parallel algorithm.
4) Students should understand the challenges of as well as the motivations for using parallel programming.

3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Computer Science & Mathematics Department

Return to Previous	New Search		XML Extract

Skip to top of page

Lebanese American University WWW Information System

Catalog Entries

© 2024 Ellucian Company L.P. and its affiliates.

Catalog Entries		Date Apr 26, 2024