CSE633: Parallel Computing

The focus of this course will be on experimental (hands-on) parallel computing. Each student is responsible for a semester-long project. Grading will be based on the project, as well as two PPT talks covering the project. The first talk provides a brief explanation of the proposed project, goals, expectations, and a timeline of the work to be performed. The second talk provides a summary of accomplishments. Students are encouraged to look at the final talks from previous semesters, available below. Note that a successfully completed project satisfies the requirement for a project in the M.S. program. (The student who completes the project successfully is responsible for filling out the proper paperwork and presenting it to Dr. Miller for a signature.) NB: There will be a cap on the number of students allowed to enroll in the course, so that those who are enrolled will have a full experience and educational opportunity.

• Dr. Matt Jones (CCR) gave several talks covered an introduction to CCR and their systems, logging into and submitting jobs to CCR's clusters, MPI programming, OpenMP programming, and debugging, to name a few. Notes on this material may be found at CCR.

• HPC, Computational Science & Engineering, Shake-and-Bake, and 21st Century Academia, Russ Miller.
• A parallel version of deep learning, Xiaotian Gan.
• Implementation of Parallel Shell Sort using MPI, Prasad Salvi.
• Solving System of Linear Equation with Iterative Method, Pengfei Cui.
• Parallel Scalar Multiplication of Elliptic Curve Points, George Gunner.
• Parallelized Implementation of Logistic Regressing using MPI, Pavan Gururaj Joshi.
• Delaunay Triangulation in Parallel, Adarsh Prakash.
• Parallel Event Detection in Sensor Data, Marc Greenbaum.
• Traveling Salesman, Jeremy Topolski.
• Parallel Approach to Dijkstra's Algorithm, Libing Wu.
• Parallel ID3, Jeremy Dominijanni.