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-type 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) presented material covering 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. Please see presentations on MPI, OpenMP, and SLURM at CCR.

• HPC, Computational Science & Engineering, Shake-and-Bake, and 21st Century Academia, Russ Miller.
• Parallel Odd-Even Transposition Sort using MPI, Asif Imran.
• Parallel Particle Swarm Optimization, Sourabh Bhagat.
• Parallel Parameter Update for Deep Neural Network, Xin Ma.
• Implementation of Parallel Softmax Regression using CUDA, Shivraj Wabale.
• Implementation of Parallel Softmax Regression using CUDA, Gautam Shende.
• MPI Parallel Connected Component Counting on Overlap Graphs and ER Graphs, Vicky Zheng.
• Parallel Convex Hull, Sanjay Muthu Manickam.
• Distributed Message Passing for Large Scale Graphical Models, Yan Shen.
• Count Primes Using MPI, Congying Wang.
• String Matching Using Parallel Implementation, Jiang Wu.
• Hierarchical Parallel A* Algorithm, Abhishek Subramaniam.