Dr. Jaroslaw Zola
Department of Computer Science and Engineering Department of Biomedical Informatics
Email: firstname.lastname@example.org Web: http://www.jzola.org/ Twitter: @rzolau
This course is intended for students interested in the efficient use of modern parallel systems ranging from multi-core and many-core processors to large-scale distributed memory clusters. The course puts equal emphasis on the theoretical foundations of parallel computing, and on practical aspects of different parallel programming models. It begins with a survey of common parallel architectures and types of parallelism, and then follows with an overview of formal approaches to assess scalability and efficiency of parallel algorithms and their implementations. In the second part, the course covers the most common and current parallel programming techniques and APIs, including for shared address space, many-core accelerators, distributed memory clusters and big data analytics platforms. Each component of the course involves solving practical computational and data driven problems, ranging from basic algorithms like sorting or searching, through numerical data analysis, to large graphs processing.
This course is the Software and Information Systems focus area course at CSE.
Course Prerequisites Undergraduate students: CSE 331 (CSE 220 is highly recommended). All students should know basics of linear algebra and graph theory.
You can download full syllabus from here.
Course resources are available from here (password required).