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.
• Parallelizing Maximum Sum Subsequence, Srinivas Rishindra Pothireddi.
• Parallel Algorithms K-Means Clustering, Divya Srivastava.
• Distributed K-core decomposition using MPI, Penghang Liu.
• Calculation of Maximal Overlaps, John Rivera.
• Matrix Multiplication in Parallel, Varsha Ganesh.
• Smith-Waterman Algorithm in Parallel, Jian Chen.
• Parallel Implementation of Floyd-Warshall Algorithm, Asmita Gautam.
• String Matching using MPI, Niranjan Mirashi.
• Parallel Quicksort, Sri Abinaya.
• Image Compression using k-Means Clustering, Utkarsh Bansal.
• Parallel Implementation of Bitonic Sort - Using MPI, Srinath Vikramakumar.
• Image Segmentation using K-Means Algorithm, Aniket R. Rane.
• Shortest Pair Point Algorithm, Yifu Yin.