APMA 2821H - Introduction to High Performance Computing: Tools and Algorithms

Institution:

Brown University

Subject:

Description:

Covers fundamental topics in High Performance Computing, with emphasis on Parallel Computing. We will start from basics in programming with C++, creating and compiling sequential codes and employing high performance scientific numerical libraries such as LAPACK and BLAS. Next, we will learn MPI programming and employ parallel linear algebra libraries such as ScaLapack for dense and SuperLU for sparse matrix operations. The focus will be on load balancing, efficient design of communication and multilevel parallelism required for heterogeneous computing. We will continue with advanced topics such as: parallel I/O and GPU-CPU computing. We will use computer laboratory for hands-on tutorials. Grade will be based on 5-6 home assignments/mini-projects and a final project with presentation. Students are encouraged to suggest projects related to the area of their expertise.

Credits:

1.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.brown.edu

Phone Number:

(401) 863-1000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.